Triple
T10997360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Hartnett |
E259911
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Robert Hartnett |
E259911
|
NE FINISHED |
How this triple was built (2 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: Robert Hartnett | Statement: [Robert Hartnett, name, Robert Hartnett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Hartnett Context triple: [Robert Hartnett, name, Robert Hartnett]
-
A.
Robert Hartnett
chosen
Robert Hartnett is an individual notable enough to be specifically cited as a bearer of the surname Hartnett.
-
B.
George Hartnett
George Hartnett is a notable individual distinguished enough to be recognized as a prominent bearer of the Hartnett surname.
-
C.
Richard Hartnett
Richard Hartnett is an individual notable enough to be specifically cited as a bearer of the surname Hartnett, though detailed public information about his life or achievements is limited.
-
D.
David Hartnett
David Hartnett is a British civil servant best known for serving as the Permanent Secretary for Tax at HM Revenue and Customs, where he was the UK's top tax official.
-
E.
Michael Hartley
Michael Hartley is a personal name shared by multiple individuals, including professionals and public figures in various fields.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69e3452420c08190b9c91a9c8a807670 |
completed | April 18, 2026, 8:47 a.m. |
Created at: April 8, 2026, 9:24 p.m.