Triple
T6135439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Police Squad! |
E136820
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Peter Lupus |
E360010
|
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: Peter Lupus | Statement: [Police Squad!, starring, Peter Lupus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Lupus Context triple: [Police Squad!, starring, Peter Lupus]
-
A.
Peter Lupus
chosen
Peter Lupus is an American actor and bodybuilder best known for playing strongman Willy Armitage on the television series "Mission: Impossible."
-
B.
Peter Russo
Peter Russo is a troubled Pennsylvania congressman and key character in the political drama series "House of Cards."
-
C.
Stephen Orlac
Stephen Orlac is the tormented concert pianist in the 1935 horror film "Mad Love," whose transplanted hands drive him toward madness and violence.
-
D.
Daniel Lupi
Daniel Lupi is an American film producer known for his frequent collaborations with director Paul Thomas Anderson on critically acclaimed films.
-
E.
John D'Arco
John D'Arco is a screenwriter best known for penning the action-comedy film "Barely Lethal."
- 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.