Triple
T10997375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Hartnett |
E259912
|
entity |
| Predicate | hasShortForm |
P43
|
FINISHED |
| Object |
Will Hartnett
Will Hartnett is an American attorney and Republican politician who served as a member of the Texas House of Representatives.
|
E901951
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Will Hartnett | Statement: [William Hartnett, hasShortForm, Will Hartnett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Will Hartnett Context triple: [William Hartnett, hasShortForm, Will Hartnett]
-
A.
Steve Hartnett
Steve Hartnett is an individual notable enough to be specifically cited as a bearer of the surname Hartnett.
-
B.
Frank Hartnett
Frank Hartnett is a notable individual distinguished enough in his field or public life to be recognized as a prominent bearer of the Hartnett surname.
-
C.
Tom Hartnett
Tom Hartnett is a notable individual distinguished enough to be recognized as a prominent bearer of the Hartnett surname.
-
D.
Sean Hartnett
Sean Hartnett is a relatively obscure individual whose primary distinguishing feature is sharing the surname Hartnett, with no widely recognized public profile or achievements documented.
-
E.
Ed Hartnett
Ed Hartnett is an American software developer best known as the creator and primary maintainer of the NetCDF-4 library widely used in scientific computing and data analysis.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Will Hartnett Triple: [William Hartnett, hasShortForm, Will Hartnett]
Generated description
Will Hartnett is an American attorney and Republican politician who served as a member of the Texas House of Representatives.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Will Hartnett Target entity description: Will Hartnett is an American attorney and Republican politician who served as a member of the Texas House of Representatives.
-
A.
Steve Hartnett
Steve Hartnett is an individual notable enough to be specifically cited as a bearer of the surname Hartnett.
-
B.
Frank Hartnett
Frank Hartnett is a notable individual distinguished enough in his field or public life to be recognized as a prominent bearer of the Hartnett surname.
-
C.
Tom Hartnett
Tom Hartnett is a notable individual distinguished enough to be recognized as a prominent bearer of the Hartnett surname.
-
D.
Sean Hartnett
Sean Hartnett is a relatively obscure individual whose primary distinguishing feature is sharing the surname Hartnett, with no widely recognized public profile or achievements documented.
-
E.
Ed Hartnett
Ed Hartnett is an American software developer best known as the creator and primary maintainer of the NetCDF-4 library widely used in scientific computing and data analysis.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d796d20b448190958331705de3a9be |
completed | April 9, 2026, 12:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3a9644ff08190a3005e4f6a8243fe |
completed | April 18, 2026, 3:55 p.m. |
| NEDg | Description generation | batch_69e3ad00b5c08190a7bf3ecbeae76d88 |
completed | April 18, 2026, 4:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3b1efe4a88190884eb5186954cf39 |
completed | April 18, 2026, 4:31 p.m. |
Created at: April 8, 2026, 9:24 p.m.