Triple
T28924042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General John Macarthur |
E733595
|
entity |
| Predicate | sequenceOfDeath |
P69759
|
FINISHED |
| Object | third victim on Soldier Island |
—
|
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: third victim on Soldier Island | Statement: [General John Macarthur, sequenceOfDeath, third victim on Soldier Island]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sequenceOfDeath Context triple: [General John Macarthur, sequenceOfDeath, third victim on Soldier Island]
-
A.
eraSequence
Indicates that one era or time period directly follows or precedes another in a chronological sequence.
-
B.
containsDeathOf
Indicates that the subject includes, depicts, or involves the death of the referenced entity.
-
C.
deathBy
Indicates a relationship where one entity’s death is caused by another entity, event, or factor.
-
D.
deathLeadsTo
Indicates that one entity’s death causes, results in, or brings about another event, state, or condition.
-
E.
deathEpisode
chosen
Indicates the episode or event in which an entity’s death occurs or is depicted.
- 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_69f05b0a5cc0819094828367ae204b70 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65b1d1c688190b035919575bb2164 |
completed | May 2, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f659d02f1c8190831758ac52bb54e4 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 8:22 a.m.