Triple
T16197806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boston Public |
E393112
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Harry Senate
Harry Senate is a passionate and unconventional high school teacher portrayed by Nicky Katt in the television drama series "Boston Public."
|
E1198773
|
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: Harry Senate | Statement: [Boston Public, mainCharacter, Harry Senate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harry Senate Context triple: [Boston Public, mainCharacter, Harry Senate]
-
A.
Howard E. Smith
Howard E. Smith is a film editor best known for his work on major Hollywood productions, including the shark thriller "Deep Blue Sea."
-
B.
Howard E. Smith
Howard E. Smith is a film editor best known for his work on major Hollywood productions, including the action thriller "Point Break."
-
C.
Howard E. Smith
Howard E. Smith is a film editor best known for his work on genre films such as the cult vampire movie "Near Dark."
-
D.
Howard E. Smith
Howard E. Smith was a film editor best known for his work on notable movies such as "Strange Days."
-
E.
Howard E. Smith
Howard E. Smith is a film editor best known for his work on the acclaimed drama "Glengarry Glen Ross."
- 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: Harry Senate Triple: [Boston Public, mainCharacter, Harry Senate]
Generated description
Harry Senate is a passionate and unconventional high school teacher portrayed by Nicky Katt in the television drama series "Boston Public."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Harry Senate Target entity description: Harry Senate is a passionate and unconventional high school teacher portrayed by Nicky Katt in the television drama series "Boston Public."
-
A.
Howard E. Smith
Howard E. Smith is a film editor best known for his work on the acclaimed drama "Glengarry Glen Ross."
-
B.
Howard E. Smith
Howard E. Smith is a film editor best known for his work on the thriller "Snakes on a Plane."
-
C.
Howard E. Smith
Howard E. Smith is a film editor best known for his work on major Hollywood productions, including the shark thriller "Deep Blue Sea."
-
D.
Howard E. Smith
Howard E. Smith is a film editor best known for his work on major Hollywood productions, including the action thriller "Point Break."
-
E.
Howard E. Smith
Howard E. Smith was a film editor best known for his work on notable movies such as "Strange Days."
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e222dc6b1c8190a3d8a6451ed8b95a |
completed | April 17, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffff0f352081908324783743e47029 |
completed | May 10, 2026, 3:44 a.m. |
| NEDg | Description generation | batch_6a00003d347481908285b2253fd20ac1 |
completed | May 10, 2026, 3:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0000adc1b08190abbafcabb4ebc079 |
completed | May 10, 2026, 3:51 a.m. |
Created at: April 10, 2026, 5:02 a.m.