Triple
T2327322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gordon Bennett |
E48316
|
entity |
| Predicate | militaryConflictRole |
P9463
|
FINISHED |
| Object | divisional commander in Malaya and Singapore |
—
|
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: divisional commander in Malaya and Singapore | Statement: [Gordon Bennett, militaryConflictRole, divisional commander in Malaya and Singapore]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: militaryConflictRole Context triple: [Gordon Bennett, militaryConflictRole, divisional commander in Malaya and Singapore]
-
A.
militaryRole
chosen
Indicates the specific function, position, or duty an entity holds within a military organization or context.
-
B.
worldWarIIRole
Indicates the specific role, position, or function an entity had in relation to World War II.
-
C.
notableBattleRole
Indicates the specific role or function an entity played in a notable or historically significant battle.
-
D.
conflictRole
Indicates that an entity plays a specific role or position within a conflict or dispute between parties.
-
E.
militaryConflict
Indicates a relationship where two or more parties are engaged in organized, armed hostilities or warfare against each other.
- 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_69a88aa308a88190b0b86c011fda7fce |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abcc30c5e881908c5d526d7e7491d0 |
completed | March 7, 2026, 6:56 a.m. |
| PD | Predicate disambiguation | batch_69abc5926d048190a535e3f23d41de2a |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:50 p.m.