Triple
T9430286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dick Wolf |
E227355
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Wolf Entertainment |
E653941
|
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: Wolf Entertainment | Statement: [Dick Wolf, employer, Wolf Entertainment]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wolf Entertainment Context triple: [Dick Wolf, employer, Wolf Entertainment]
-
A.
Wolf Entertainment
chosen
Wolf Entertainment is an American television production company founded by producer Dick Wolf, best known for creating and overseeing the long-running Law & Order and Chicago franchise series.
-
B.
Ludicorp
Ludicorp was a Canadian software company best known for creating the photo-sharing service Flickr before being acquired by Yahoo.
-
C.
Wolf Den
Wolf Den is a live entertainment venue located within the Mohegan Sun casino resort, known for hosting free concerts and performances.
-
D.
Wolf Den
Wolf Den is a notable rocky cave and historic landmark within Mashamoquet State Park in Connecticut, traditionally associated with early colonial wolf-hunting legends.
-
E.
Desert Wolf Productions
Desert Wolf Productions is a television production company best known for its work on the horror drama series "Penny Dreadful."
- 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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7e5ed7408190beda5fb078e9345a |
completed | April 1, 2026, 8:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d11038f7b88190bd6b895f5544c63e |
completed | April 4, 2026, 1:20 p.m. |
Created at: March 30, 2026, 7:49 p.m.