Triple
T3976969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam Manekshaw |
E85665
|
entity |
| Predicate | leadershipTraits |
P25067
|
FINISHED |
| Object | courage |
—
|
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: courage | Statement: [Sam Manekshaw, leadershipTraits, courage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadershipTraits Context triple: [Sam Manekshaw, leadershipTraits, courage]
-
A.
associatedCharacterTrait
Indicates a relationship where a character is linked to, or described by, a particular trait or quality.
-
B.
coachingTrait
Indicates that one entity possesses a characteristic, style, or quality specifically related to coaching.
-
C.
hasTypeOfLeadership
chosen
Indicates that an entity possesses or is characterized by a specific style or form of leadership.
-
D.
leadershipContext
Indicates the situational or organizational setting in which leadership is exercised or expressed between entities.
-
E.
mainLeaders
Indicates that the referenced entities serve as the primary or most important leaders within a group, organization, or context.
- 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_69aed93908348190a26c8aaf4fab3e86 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaca33e4819091957c7915857a42 |
completed | March 9, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69aef8f252b081909749d40440d372b2 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:33 p.m.