Triple
T3633486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Three-Body Problem (TV adaptation) |
E77011
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Bernadette Caulfield |
E347382
|
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: Bernadette Caulfield | Statement: [The Three-Body Problem (TV adaptation), executiveProducer, Bernadette Caulfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bernadette Caulfield Context triple: [The Three-Body Problem (TV adaptation), executiveProducer, Bernadette Caulfield]
-
A.
Bernadette Caulfield
chosen
Bernadette Caulfield is an American television producer best known for her work as a senior producer on the HBO fantasy series "Game of Thrones."
-
B.
Bernadette Wall
Bernadette Wall is an individual notable enough to be recognized as a prominent bearer of the surname Wall.
-
C.
Mary Durkan
Mary Durkan is an Irish politician known for her involvement in local and national public affairs.
-
D.
Elizabeth McLaughlin
Elizabeth McLaughlin is an American actress known for her roles in television series such as the psychological drama "Hand of God."
-
E.
Anne Callan
Anne Callan is the central protagonist of the film "The Four Seasons," around whose experiences and relationships the story revolves.
- 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_69ad85dd0be48190b738990cb20c4731 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc30457608190840fb5b33f9965c4 |
completed | March 8, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4daf8199481909fdeed33a4874b4b |
completed | March 14, 2026, 3:50 a.m. |
Created at: March 8, 2026, 3:23 p.m.