Triple
T9536617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amos Fisk |
E230031
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Amos Fisk |
E230031
|
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: Amos Fisk | Statement: [Amos Fisk, name, Amos Fisk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amos Fisk Context triple: [Amos Fisk, name, Amos Fisk]
-
A.
Amos Fisk
chosen
Amos Fisk is a person notable enough to be recognized as a bearer of the surname Fisk.
-
B.
Kelvin Mercer
Kelvin Mercer is an American rapper, producer, and founding member of the influential hip hop group De La Soul, known by his stage name Posdnuos.
-
C.
Raoul Silva
Raoul Silva is the primary antagonist in the James Bond film "Skyfall," a former MI6 agent turned cyberterrorist bent on revenge against M.
-
D.
Francisco Scaramanga
Francisco Scaramanga is the suave, highly skilled assassin and primary antagonist known as the "Man with the Golden Gun" in the James Bond film of the same name.
-
E.
Anton Chigurh
Anton Chigurh is the cold, relentless hitman and primary antagonist in Cormac McCarthy’s novel and the Coen brothers’ film "No Country for Old Men," known for his emotionless demeanor and coin-toss method of deciding victims’ fates.
- 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_69ca847b1b3081908f72bc932c17cc41 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98ce884c8190a8b3c2dc7c73c2c9 |
completed | April 1, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14c4f1fc08190a1ad3d862717eef3 |
completed | April 4, 2026, 5:37 p.m. |
Created at: March 30, 2026, 8:01 p.m.