Triple
T17440144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warden Hazen |
E424127
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Warden Hazen |
—
|
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: Warden Hazen | Statement: [Warden Hazen, name, Warden Hazen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warden Hazen Context triple: [Warden Hazen, name, Warden Hazen]
-
A.
Warden Hazen
chosen
Warden Hazen is the corrupt and authoritarian prison warden who serves as the main antagonist in the sports comedy film "The Longest Yard."
-
B.
Colonel Butler
Colonel Butler is a fictional military officer character featured in the 1935 film serial "The Fighting Marines."
-
C.
Colonel Blount
Colonel Blount is a comic, old-fashioned military figure in Evelyn Waugh’s satirical novel "Vile Bodies," embodying the blustering, out-of-touch attitudes of the older generation.
-
D.
Colonel Strong Vincent
Colonel Strong Vincent was a Union Army officer in the American Civil War best known for his decisive leadership and mortal wounding while defending Little Round Top at the Battle of Gettysburg.
-
E.
Marshal Tallard
Marshal Tallard was a French general and marshal of France best known for commanding French forces and being captured during the War of the Spanish Succession.
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ff63e5481908a3ea0aa221360c5 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 5:46 a.m.