Triple
T19994540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pieces of a Man |
E494156
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | “The Pay Back” |
—
|
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 Pay Back” | Statement: [Pieces of a Man, hasPart, “The Pay Back”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “The Pay Back” Context triple: [Pieces of a Man, hasPart, “The Pay Back”]
-
A.
The Payback
chosen
The Payback is a 1973 funk album by James Brown, widely regarded as one of his most influential and sampled works, featuring extended grooves and socially charged themes.
-
B.
Payback
Payback is a superhero character from the Dakotaverse, a comic-book universe best known through Milestone Media’s titles like Static and Icon.
-
C.
Payback
Payback is a 1999 neo-noir crime film starring Mel Gibson as a vengeful thief seeking repayment after being double-crossed.
-
D.
Payback Is a Grandmother
Payback Is a Grandmother is a chapter from Laura Esquivel’s novel "Like Water for Chocolate," contributing to the book’s blend of magical realism, family drama, and culinary symbolism.
-
E.
The Payoff
"The Payoff" is a 1935 American crime drama film starring Lee Tracy as a fast-talking newspaper reporter entangled in corruption and murder.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fe306548190a6924ce3798a4d3d |
completed | April 20, 2026, 5:18 p.m. |
Created at: April 11, 2026, 3:31 p.m.