Triple
T37580430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | murder of John Lennon |
E934940
|
entity |
| Predicate | perpetratorArrestedAtScene |
P24149
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [murder of John Lennon, perpetratorArrestedAtScene, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: perpetratorArrestedAtScene Context triple: [murder of John Lennon, perpetratorArrestedAtScene, true]
-
A.
perpetratorDiedAtScene
Indicates that the perpetrator died at the location where the incident or event took place.
-
B.
arrestedAt
chosen
Indicates that an entity was apprehended or taken into custody at a specific location or during a specific event or time.
-
C.
perpetratorInCase
Indicates that an entity is the person or group responsible for committing the offense or wrongdoing in a particular legal or investigative case.
-
D.
arrestedWith
Indicates that two or more individuals were arrested at the same time and in connection with the same incident or operation.
-
E.
perpetratorTrialHeldBy
Indicates that a legal trial concerning the perpetrator is conducted or overseen by the specified judicial body or authority.
- 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_69f76ece61dc8190a0ab33f8d87d0a7e |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbb9e8108c8190ae1c7940b1677e95 |
completed | May 6, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fbb141605c8190b9c27d70352522db |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.