Triple
T20294543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Revenge of the Creature |
E510112
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | John Bromfield |
—
|
NE NERFINISHED |
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: John Bromfield | Statement: [Revenge of the Creature, stars, John Bromfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Bromfield Context triple: [Revenge of the Creature, stars, John Bromfield]
-
A.
John Bromfield
chosen
John Bromfield was an American film and television actor best known for his rugged leading-man roles in 1950s crime dramas and Westerns.
-
B.
John Willsteed
John Willsteed is an Australian musician best known as a guitarist and multi-instrumentalist for the indie rock band The Go-Betweens.
-
C.
John Kiffmeyer
John Kiffmeyer is an American drummer best known for being the original drummer of the punk rock band Green Day during their early years.
-
D.
John Milledge
John Milledge was an American politician and statesman who served as governor of Georgia and a U.S. congressman in the early 19th century.
-
E.
John Hollsopple
John Hollsopple was an individual significant enough in local history or development to lend his name to the community of Hollsopple, Pennsylvania.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4c652388190b782cad965e5a098 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6770714c4819080e3256325747ebf |
completed | April 20, 2026, 6:57 p.m. |
Created at: April 16, 2026, 11:13 a.m.