Triple
T33210518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Messina |
E850142
|
entity |
| Predicate | hasKeyFigureInBackstory |
P187067
|
FINISHED |
| Object | Coach Eddie Rake |
—
|
NE NERFINISHED |
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: Coach Eddie Rake | Statement: [Messina, hasKeyFigureInBackstory, Coach Eddie Rake]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKeyFigureInBackstory Context triple: [Messina, hasKeyFigureInBackstory, Coach Eddie Rake]
-
A.
hasFictionalBackstory
Indicates that an entity is associated with an invented or imaginary narrative background rather than a real-world history.
-
B.
hasAllyInStory
Indicates that one entity is portrayed as an ally or supportive partner of another entity within the context of a specific story or narrative.
-
C.
settingOfCharacterBackstory
Indicates the place or environment in which a character’s backstory events occur.
-
D.
hasFateInStory
Indicates that an entity is assigned a particular destiny, outcome, or ultimate role within the narrative of a story.
-
E.
hasLeaderInStory
Indicates that one entity serves as the leader of another entity within the context of a specific story or narrative.
- 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_69f3495fb92c819083ce65d0ddee7a76 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fb3425666081908916fcbf3b5dd907 |
completed | May 6, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_69fb2f5f3164819099429c2cc3d24e01 |
completed | May 6, 2026, 12:09 p.m. |
| PDg | Predicate description generation | batch_69fb3424724c8190ba55ecf66fa0b171 |
completed | May 6, 2026, 12:29 p.m. |
Created at: May 1, 2026, 1:30 a.m.