Triple
T10493217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | For Men Only |
E247469
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | For Men Only |
E247469
|
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: For Men Only | Statement: [For Men Only, title, For Men Only]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: For Men Only Context triple: [For Men Only, title, For Men Only]
-
A.
For Men Only
chosen
For Men Only is a 1952 American drama film about brutal college fraternity hazing, notable as one of the few movies directed by actor Paul Henreid.
-
B.
For Men Only
"For Men Only" is a work associated with American actress BernNadette Stanis, best known for her role as Thelma Evans on the 1970s sitcom "Good Times."
-
C.
Gents
Gents is the nickname for the men's athletic teams representing Centenary College of Louisiana.
-
D.
Men
Men are the mortal human race of Middle-earth, known for their brief lifespans, diverse cultures, and pivotal role in the struggle against darkness in Tolkien’s legendarium.
-
E.
Men
Men is a 2022 British folk horror film written and directed by Alex Garland that follows a grieving woman’s unsettling retreat to the English countryside.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5097ecbec8190807c4fcc85662026 |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90dd040f48190a645ebd131f9205c |
completed | April 10, 2026, 2:48 p.m. |
Created at: April 6, 2026, 12:24 p.m.