Triple
T14656147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fifty-Two Pickup |
E344112
|
entity |
| Predicate | hasBlackmailPlot |
P115232
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [Fifty-Two Pickup, hasBlackmailPlot, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBlackmailPlot Context triple: [Fifty-Two Pickup, hasBlackmailPlot, true]
-
A.
hasPoliticalPlot
Indicates that the subject work contains a storyline or narrative element centered on politics, political events, or political power struggles.
-
B.
blackmailedFor
Indicates that one entity coerces another into doing or not doing something by threatening to reveal damaging or sensitive information about them.
-
C.
blackmails
Indicates that one entity coerces another by threatening to reveal damaging or sensitive information unless specific demands are met.
-
D.
hasIllegitimateChildPlotline
Indicates that a narrative includes a storyline involving a character having a child born outside of a legally or socially recognized partnership.
-
E.
threatensToReveal
Indicates a situation where one entity warns or intends to disclose information about another entity, typically to exert pressure or gain leverage.
- F. None of above. chosen
Provenance (4 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb51a562c819098971447db4b29f7 |
completed | April 14, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69de6576f0208190aa94d995e797ac38 |
completed | April 14, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69de716c17cc8190aeb85296abee85a7 |
completed | April 14, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:27 a.m.