Triple
T3003258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Burton |
E81838
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Becket |
E242033
|
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: Becket | Statement: [Richard Burton, notableWork, Becket]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Becket Context triple: [Richard Burton, notableWork, Becket]
-
A.
Becket
Becket is a small rural town in western Massachusetts known for its scenic Berkshire landscapes and outdoor recreation.
-
B.
Becket
Becket is a surname most notably associated with figures such as the American modernist architect Welton Becket.
-
C.
Becket
chosen
Becket is a 1964 historical drama film about the conflict between King Henry II and Archbishop Thomas Becket, renowned for its powerful performances and exploration of church–state tensions.
-
D.
Good King Henry
Good King Henry is the popular epithet of Henry IV of France, the first Bourbon king renowned for ending the French Wars of Religion and issuing the Edict of Nantes to promote religious tolerance.
-
E.
Message from the King
Message from the King is a 2016 neo-noir action thriller film in which Chadwick Boseman stars as a South African man who travels to Los Angeles to avenge his sister’s death.
- 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_69ad8b1c4de88190a83b7cefaa1f2842 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a1371c481909e214234afed1a65 |
completed | March 8, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e5302c881908294827106b314e4 |
completed | March 11, 2026, 8:56 a.m. |
Created at: March 8, 2026, 2:59 p.m.