Triple
T34361280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waodani people |
E881879
|
entity |
| Predicate | missionaryKilled |
P74108
|
FINISHED |
| Object | Jim Elliot |
—
|
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: Jim Elliot | Statement: [Waodani people, missionaryKilled, Jim Elliot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: missionaryKilled Context triple: [Waodani people, missionaryKilled, Jim Elliot]
-
A.
martyredUnder
Indicates that an entity was killed or executed as a martyr during the rule, authority, or actions of another entity.
-
B.
massacreOccurredIn
Indicates that a massacre took place within the specified location or area.
-
C.
allegedToHaveKilled
Indicates that one entity is claimed or accused, but not proven, to have killed another entity.
-
D.
perpetratorOfKilling
chosen
Indicates that an entity is the one who carried out or caused a particular killing.
-
E.
martyr
Indicates that an entity is killed or suffers greatly, typically for a belief, cause, or principle, often being regarded or treated as a martyr as a result.
- 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_69f349be5c9c81908dc726ae1f4c68f2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7979a073881909a4fde2558e6b6f3 |
completed | May 3, 2026, 6:44 p.m. |
| PD | Predicate disambiguation | batch_69f7961550f88190b7bb8a9155458b54 |
completed | May 3, 2026, 6:38 p.m. |
Created at: May 1, 2026, 1:58 a.m.