Triple
T13673221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Mayor |
E327804
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Jeremy Bronson |
E1056849
|
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: Jeremy Bronson | Statement: [The Mayor, executiveProducer, Jeremy Bronson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeremy Bronson Context triple: [The Mayor, executiveProducer, Jeremy Bronson]
-
A.
Jeremy Bronson
chosen
Jeremy Bronson is a television writer and producer best known for creating the political comedy series "The Mayor."
-
B.
Ben Foster
Ben Foster is a British composer and orchestrator best known for his work on television scores, including contributions to the revived Doctor Who series.
-
C.
Ben Foster
Ben Foster is an American actor known for his intense, often gritty performances in films such as "3:10 to Yuma," "Hell or High Water," and "The Messenger."
-
D.
Paul Walter Hauser
Paul Walter Hauser is an American actor and comedian known for his scene-stealing character roles in films and television, including his acclaimed lead performance in "Richard Jewell."
-
E.
Daniel Henney
Daniel Henney is an American actor and model known for his roles in films and television series such as "Big Hero 6," "Criminal Minds," and "The Wheel of Time."
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc65aab348190a6611f5765f8392d |
completed | April 12, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a83eddac81909376c36452bfa38b |
completed | May 3, 2026, 7:55 p.m. |
Created at: April 9, 2026, 9:53 p.m.