Triple
T912180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Gamester |
E19683
|
entity |
| Predicate | protagonistCharacteristic |
P21469
|
FINISHED |
| Object | addicted to gambling |
—
|
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: addicted to gambling | Statement: [The Gamester, protagonistCharacteristic, addicted to gambling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: protagonistCharacteristic Context triple: [The Gamester, protagonistCharacteristic, addicted to gambling]
-
A.
protagonistType
Indicates the role or category that the main character (protagonist) of a story or scenario belongs to.
-
B.
protagonistDescription
Indicates that a text provides a descriptive summary or characterization of the story’s main protagonist.
-
C.
mainProtagonist
Indicates that the subject is the central character or primary focus in the narrative of the related work.
-
D.
protagonistAlterEgoOf
Indicates that one entity is the alternate identity or secret persona of the main character (protagonist) in a narrative.
-
E.
protagonistNationality
Indicates the country or national identity to which the protagonist of a work is associated or belongs.
- F. None of above. chosen
Provenance (4 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_69a4939f91a08190ba68c2c81eab90fe |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b2f605bc8190a5245aa2ca55cf43 |
completed | March 1, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69a4b2918ea881908698020b995a8eae |
completed | March 1, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69a4b2f4e3fc81908c8a2d1fbef9c5d2 |
completed | March 1, 2026, 9:43 p.m. |
Created at: March 1, 2026, 7:39 p.m.