Triple
T22254524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Rouse Merriott Chard |
E550063
|
entity |
| Predicate | roleInBattleOfRorkesDrift |
P28183
|
FINISHED |
| Object | co-commander of the British garrison |
—
|
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: co-commander of the British garrison | Statement: [John Rouse Merriott Chard, roleInBattleOfRorkesDrift, co-commander of the British garrison]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInBattleOfRorkesDrift Context triple: [John Rouse Merriott Chard, roleInBattleOfRorkesDrift, co-commander of the British garrison]
-
A.
roleInBattleOfBennington
Indicates the specific role or involvement an entity had in the Battle of Bennington.
-
B.
roleInWarOrConflict
Indicates the specific function, position, or involvement an entity has within a particular war or conflict.
-
C.
foughtAs
Indicates that an entity participated in a conflict or war in the capacity, role, or identity specified by another entity.
-
D.
notableBattleRole
chosen
Indicates the specific role or function an entity played in a notable or historically significant battle.
-
E.
roleInAraucoWar
Indicates the specific function, position, or involvement an entity had within the context of the Arauco War.
- 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_69e11e42adb8819087714772ea606709 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f138c1d70881908df47b0f818c0022 |
completed | April 28, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69e72fe1e0cc8190bd13cff2a0846225 |
completed | April 21, 2026, 8:05 a.m. |
Created at: April 16, 2026, 8:39 p.m.