Triple
T9019279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chip Tolentino |
E215671
|
entity |
| Predicate | causeOfElimination |
P12269
|
FINISHED |
| Object | distracted by sexual thoughts |
—
|
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: distracted by sexual thoughts | Statement: [Chip Tolentino, causeOfElimination, distracted by sexual thoughts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfElimination Context triple: [Chip Tolentino, causeOfElimination, distracted by sexual thoughts]
-
A.
reasonForElimination
chosen
Indicates the specific cause or justification for why an entity was removed, disqualified, or excluded from consideration.
-
B.
reasonForDemise
Indicates the cause, circumstance, or factor that led to an entity’s death or termination.
-
C.
causeStatus
Indicates that one entity brings about, initiates, or is responsible for a particular state or condition in another entity.
-
D.
reasonForDeath
Indicates the cause, circumstance, or condition that led to an entity’s death.
-
E.
causeOf
Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
- 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_69ca83a38aa88190bf1bb80c4548b5e2 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6a4085848190a6aa440e6307e93d |
completed | April 1, 2026, 12:43 a.m. |
| PD | Predicate disambiguation | batch_69cc5edf84408190aa5f57cb8bfd00e1 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:07 p.m.