Triple
T9774651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin Johnson |
E237215
|
entity |
| Predicate | leadershipReputation |
P87297
|
FINISHED |
| Object | inspirational captain |
—
|
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: inspirational captain | Statement: [Martin Johnson, leadershipReputation, inspirational captain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadershipReputation Context triple: [Martin Johnson, leadershipReputation, inspirational captain]
-
A.
scoringReputation
Indicates that one entity evaluates and assigns a reputation-related score to another entity based on its behavior or performance.
-
B.
denotesReputationOf
Indicates that one entity represents, expresses, or serves as an indicator of the reputation or perceived standing of another entity.
-
C.
crowdReputation
Indicates the collective opinion or perceived standing of an entity as judged by a group or general audience.
-
D.
hasProfessionalReputationFor
chosen
Indicates that an entity is recognized by others as being notably associated with a particular professional quality, skill, or behavior.
-
E.
refersToPersonReputation
Indicates that something is about, concerns, or makes reference to a particular person's reputation.
- 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_69ca84d975a08190aab25b02a89bdab3 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda13148288190bcbb3b4a066d9fc1 |
completed | April 1, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69cd03d3b68c81909e570401a891b9f2 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:26 p.m.