Triple
T15958770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Anderton |
E387003
|
entity |
| Predicate | accusationTimeframe |
P120600
|
FINISHED |
| Object | crime he has not yet committed |
—
|
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: crime he has not yet committed | Statement: [John Anderton, accusationTimeframe, crime he has not yet committed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: accusationTimeframe Context triple: [John Anderton, accusationTimeframe, crime he has not yet committed]
-
A.
dateOfAccusation
Indicates the date on which a formal accusation or charge was made against an entity.
-
B.
accusationContext
Indicates the situational or conversational setting in which an accusation is made, such as its background, circumstances, or framing.
-
C.
ageAtTimeOfAccusation
Indicates the age a person was at the specific time when an accusation was made against them.
-
D.
timeframeOfCrimes
Indicates the period or span of time during which the crimes occurred or were committed.
-
E.
accusationType
Indicates the specific category or nature of an accusation made by one party against another.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e173b3bf6c81909230170e833d7ce7 |
completed | April 16, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69e142d6fb588190b4176eab4bbae774 |
completed | April 16, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69e173af801c8190bfc0f602831bb594 |
completed | April 16, 2026, 11:41 p.m. |
Created at: April 10, 2026, 4:53 a.m.