Triple
T17283523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Land of Men |
E419591
|
entity |
| Predicate | notableChapter |
P5600
|
FINISHED |
| Object | The Men |
E277552
|
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: The Men | Statement: [Land of Men, notableChapter, The Men]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Men Context triple: [Land of Men, notableChapter, The Men]
-
A.
The Men
chosen
The Men is a 1950 American drama film notable for being Marlon Brando’s feature film debut and for its realistic portrayal of a paralyzed World War II veteran’s struggles to readjust to civilian life.
-
B.
Many Men
"Many Men" is a track by 21 Savage and Metro Boomin from their collaborative album Savage Mode II, known for its dark, introspective lyrics over ominous trap production.
-
C.
Gentlemen
Gentlemen is the nickname and mascot identity for the men's athletic teams of Centenary College of Louisiana.
-
D.
Gentlemen
Gentlemen is a critically acclaimed Swedish novel by Klas Östergren that blends crime, satire, and historical reflection in a cult-favorite portrayal of Stockholm in the late 20th century.
-
E.
G Men
G Men is a 1935 American crime film starring James Cagney as a law school graduate who joins the FBI to battle organized crime.
- 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e4332b19f481908acfa88b2f57c5dc |
completed | April 19, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0179535ae08190ac0137d0f8741919 |
completed | May 11, 2026, 6:38 a.m. |
Created at: April 10, 2026, 5:40 a.m.