Triple
T31768923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeong Do-jeon |
E810883
|
entity |
| Predicate | killedByFactionOf |
P82590
|
FINISHED |
| Object | Yi Bang-won |
—
|
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: Yi Bang-won | Statement: [Jeong Do-jeon, killedByFactionOf, Yi Bang-won]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: killedByFactionOf Context triple: [Jeong Do-jeon, killedByFactionOf, Yi Bang-won]
-
A.
killedBy
Indicates that one entity caused the death of another entity.
-
B.
killedOnBehalfOf
chosen
Indicates that one entity carried out a killing as a representative of, or in service to, another entity.
-
C.
killedInAttack
Indicates that an entity died as a direct result of a specific attack event.
-
D.
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.
-
E.
foughtForFaction
Indicates that an entity actively participated in or supported a particular faction, typically in a conflict or struggle.
- 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_69f348e463e08190b902d4819195e1f0 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6abadf4408190a848007166af0a96 |
completed | May 3, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69f6aa21f2508190a204a424ffc00ca6 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 30, 2026, 11:33 p.m.