Triple
T5425186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zoey Bartlet |
E121345
|
entity |
| Predicate | causeOfKidnappingInPlot |
P21187
|
FINISHED |
| Object | terrorists exploiting her relationship with the President |
—
|
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: terrorists exploiting her relationship with the President | Statement: [Zoey Bartlet, causeOfKidnappingInPlot, terrorists exploiting her relationship with the President]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfKidnappingInPlot Context triple: [Zoey Bartlet, causeOfKidnappingInPlot, terrorists exploiting her relationship with the President]
-
A.
abductedBy
Indicates that an entity has been forcibly taken or carried away by another entity against their will.
-
B.
abductedFrom
Indicates that an entity was forcibly taken away or kidnapped from a specified location or source.
-
C.
reasonForMurder
Indicates the motive or underlying cause that led someone to commit a murder.
-
D.
centralPlotDevice
chosen
Indicates that one entity functions as the main narrative mechanism or element around which the plot of the other entity is structured.
-
E.
allegedPlots
Indicates that one entity is accused or suspected of planning or conspiring to carry out harmful or illicit actions involving another entity.
- F. None of above.
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_69bd463b58d88190b258261573de9e91 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8911a7348190ad9378a248190f07 |
completed | March 20, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69bd846b8bdc81909dcdc2a3084226f2 |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:06 p.m.