Triple
T32631405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eve |
E834218
|
entity |
| Predicate | killedByCharacter |
P4646
|
FINISHED |
| Object | Press Lennox (indirectly involved) |
—
|
NE NERFINISHED |
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: Press Lennox (indirectly involved) | Statement: [Eve, killedByCharacter, Press Lennox (indirectly involved)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: killedByCharacter Context triple: [Eve, killedByCharacter, Press Lennox (indirectly involved)]
-
A.
killedBy
chosen
Indicates that one entity caused the death of another entity.
-
B.
killsOrIsKilledBy
Indicates that one entity causes the death of the other or is itself killed by that entity, capturing a mutual or directional lethal relationship between them.
-
C.
killedByWeaponOf
Indicates that one entity was killed using a weapon that belongs to or is associated with another entity.
-
D.
keyFigureKilled
Indicates that a central or important individual was killed, typically as a significant event in the context.
-
E.
killedInAttack
Indicates that an entity died as a direct result of a specific attack 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_69f3492dc2308190a88c6e30a3f3f576 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6c8159edc8190b1c87015e0c820e8 |
completed | May 3, 2026, 3:59 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f42fbc8190a06eb1044c9e6094 |
completed | May 3, 2026, 3:41 a.m. |
Created at: May 1, 2026, 1:07 a.m.