Triple
T29798881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1981 Wonderland Avenue murders |
E756632
|
entity |
| Predicate | policeDescription |
P177156
|
FINISHED |
| Object | one of the most brutal crimes in Los Angeles history |
—
|
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: one of the most brutal crimes in Los Angeles history | Statement: [1981 Wonderland Avenue murders, policeDescription, one of the most brutal crimes in Los Angeles history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: policeDescription Context triple: [1981 Wonderland Avenue murders, policeDescription, one of the most brutal crimes in Los Angeles history]
-
A.
policeForceCharacteristic
Indicates that a specified characteristic, quality, or attribute is associated with a particular police force.
-
B.
policeCharacter
Indicates that one entity serves as a police officer or law-enforcement figure in relation to another entity.
-
C.
policeSystem
Indicates a relationship where an entity functions as, belongs to, or is governed by a system of law enforcement or policing.
-
D.
policeDepartmentType
Indicates the specific organizational category or classification of a police department (e.g., municipal, state, federal).
-
E.
peakCivilianPolice
Indicates the highest recorded number of civilian police personnel present or deployed in a given context or operation.
- 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_69f22454583081908927516cb9938d1d |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6f85bfba48190aba95b40642a8ca7 |
completed | May 3, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f6f65fd1d08190b88e5e68ba268500 |
completed | May 3, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69f6f854486c81909396d944a55e03ab |
completed | May 3, 2026, 7:25 a.m. |
Created at: April 29, 2026, 5:17 p.m.