Triple
T6135438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Police Squad! |
E136820
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Alan North |
E248293
|
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: Alan North | Statement: [Police Squad!, starring, Alan North]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alan North Context triple: [Police Squad!, starring, Alan North]
-
A.
Alan North
chosen
Alan North was an American character actor known for his roles in film and television, often portraying authority figures such as police officers and military men.
-
B.
Jack Thorne
Jack Thorne is a British playwright and screenwriter known for works such as the stage play "Harry Potter and the Cursed Child" and numerous acclaimed film and television scripts.
-
C.
Duncan MacMillan
Duncan MacMillan is an American businessman best known as one of the co-founders of the global financial information and media company Bloomberg L.P.
-
D.
Duncan MacMillan
Duncan MacMillan is an American businessman best known as a co-founder of Interactive Data Corporation, a major provider of financial market data and analytics.
-
E.
Tony Way
Tony Way is an English actor, comedian, and writer known for his supporting roles in film and television, including appearances in projects like Game of Thrones and various British comedies.
- 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_69c008a179388190a3b5a081bbf46d55 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05c80a6088190a028967b682fed2b |
completed | March 22, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c135e22b9481908e6023d1b0a5d0fd |
completed | March 23, 2026, 12:45 p.m. |
Created at: March 22, 2026, 4:15 p.m.