Triple
T15103172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Otto Delaney |
E360719
|
entity |
| Predicate | laterBetrays |
P25013
|
FINISHED |
| Object | law enforcement |
—
|
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: law enforcement | Statement: [Otto Delaney, laterBetrays, law enforcement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterBetrays Context triple: [Otto Delaney, laterBetrays, law enforcement]
-
A.
betrayed
chosen
Indicates that one entity has broken the trust, loyalty, or confidence of another, typically by acting against their interests or revealing something meant to be kept secret.
-
B.
betrayalSign
Indicates an action or signal through which one party violates the trust, loyalty, or expectations of another.
-
C.
causeOfBetrayal
Indicates that one entity is the reason or motivating factor behind another entity’s act of betrayal.
-
D.
betrayalReward
Indicates that an entity receives a benefit or compensation as a direct result of betraying another party or prior allegiance.
-
E.
betrayalLocation
Indicates the place where an act of betrayal occurs or is carried out.
- 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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00551521c8190b48d1a074bb4bdfc |
completed | April 15, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69deb96c1d9c81909351558ed97bc5b7 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:05 a.m.