Triple
T17862158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Sargent |
E446098
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object | The Man |
—
|
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: The Man | Statement: [Joseph Sargent, directed, The Man]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Man Context triple: [Joseph Sargent, directed, The Man]
-
A.
The Man
"The Man" is a 2017 funk-influenced rock single by American band The Killers, known for its swaggering, self-confident lyrics and bold, retro sound.
-
B.
The Man
"The Man" is a song by Paul McCartney from his 1983 album "Pipes of Peace," notable for its melodic pop style and reflective lyrics.
-
C.
The Man
The Man is the enigmatic and powerful criminal mastermind alias used by Irina Derevko in the television series "Alias."
-
D.
The Man
The Man is a political novel by Irving Wallace that imagines the unprecedented election of the first Black president of the United States and explores the resulting social and political upheaval.
-
E.
The Man
chosen
The Man is a film featuring actor Richard Gant in a significant role.
- 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e49790ea148190b7a966812d44f430 |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 10, 2026, 10:17 a.m.