Triple
T24057442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howard Wagner |
E595845
|
entity |
| Predicate | displaysTrait |
P41649
|
FINISHED |
| Object | lack of empathy |
—
|
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: lack of empathy | Statement: [Howard Wagner, displaysTrait, lack of empathy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: displaysTrait Context triple: [Howard Wagner, displaysTrait, lack of empathy]
-
A.
displaysFeature
chosen
Indicates that one entity presents, shows, or makes visible a particular feature or characteristic of another entity.
-
B.
distinguishingTrait
Indicates that a particular characteristic or feature uniquely differentiates one entity from another.
-
C.
notableTraitOnStage
Indicates that an entity is characterized by a distinctive or noteworthy trait specifically in the context of performing or appearing on stage.
-
D.
traditionallyDisplayedBy
Indicates that something is customarily or historically presented, shown, or exhibited by a particular agent or group according to tradition.
-
E.
portraysRoleTrait
Indicates that one entity depicts or represents a particular role or character trait of another entity.
- 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_69e288c184b081909f1f1751fb8e299a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1da50d6108190a36bffaa475c8b93 |
completed | April 29, 2026, 10:15 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 10:35 p.m.