Triple
T5198972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Man in Black |
E117345
|
entity |
| Predicate | titleCharacter |
P9202
|
FINISHED |
| Object | Man in Black |
E315768
|
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: Man in Black | Statement: [Man in Black, titleCharacter, Man in Black]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Man in Black Context triple: [Man in Black, titleCharacter, Man in Black]
-
A.
Man in Black
chosen
The Man in Black is a mysterious, morally ambiguous figure in the Westworld universe, known for his ruthless pursuit of the park’s deepest secrets and hidden narrative.
-
B.
Man in Black
"Man in Black" is a signature song by Johnny Cash that articulates his solidarity with the poor and oppressed and explains his trademark dark clothing.
-
C.
Moonman
Moonman is the iconic astronaut-shaped statuette awarded to winners of the MTV Video Music Awards.
-
D.
Most Wanted
Most Wanted is a 1997 American action thriller film starring Keenen Ivory Wayans as a framed Marine sniper on the run from a government conspiracy.
-
E.
Bigger & Blacker
Bigger & Blacker is a 1999 stand-up comedy special and album by Chris Rock known for its sharp social commentary and provocative humor.
- 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_69bd4462ed04819084fcb01eb9d2fa74 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a1f154481908be5d3c9cbbef92a |
completed | March 20, 2026, 4:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bee0a115048190b7f02b5449c444d7 |
completed | March 21, 2026, 6:17 p.m. |
Created at: March 20, 2026, 1:47 p.m.