Triple
T11326588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tracy Reiner |
E268234
|
entity |
| Predicate | characterPlayedInWork |
P54972
|
FINISHED |
| Object | Betty Spaghetti in A League of Their Own |
—
|
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: Betty Spaghetti in A League of Their Own | Statement: [Tracy Reiner, characterPlayedInWork, Betty Spaghetti in A League of Their Own]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterPlayedInWork Context triple: [Tracy Reiner, characterPlayedInWork, Betty Spaghetti in A League of Their Own]
-
A.
characterIn
Indicates that an entity appears as a character within a specified work, story, or narrative.
-
B.
characterPortrayedIs
chosen
Indicates that one entity serves as the fictional or dramatic role that is depicted or played by another entity.
-
C.
genreOfWorkCharacterIsIn
Indicates the specific genre of the creative work in which a given character appears.
-
D.
characterInPlayBy
Indicates that a character appears in or is part of a play authored or created by a specific person.
-
E.
notableWorkCharacter
Indicates that a character appears in, is associated with, or plays a role in a particular notable work.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9e2253881909518cad0f12ef612 |
completed | April 9, 2026, 6:03 p.m. |
| PD | Predicate disambiguation | batch_69d787ad575081908274280bf75d95fd |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:32 p.m.