Triple
T35244995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Biggest Fan |
E1017632
|
entity |
| Predicate | hasFictionalPopStar |
P80857
|
FINISHED |
| Object | Chris Trousdale |
—
|
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: Chris Trousdale | Statement: [The Biggest Fan, hasFictionalPopStar, Chris Trousdale]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFictionalPopStar Context triple: [The Biggest Fan, hasFictionalPopStar, Chris Trousdale]
-
A.
hasFictionalPerformer
Indicates that an entity is associated with a performer who is a fictional or imaginary character rather than a real person.
-
B.
featuresFictionalPopStar
chosen
Indicates that something includes or prominently presents a fictional pop music star as part of its content or subject matter.
-
C.
hasFictionalSong
Indicates that one entity includes, features, or is associated with a song that is fictional or exists only within a narrative context.
-
D.
hasFictionalAuthor
Indicates that one entity is the fictional or in-universe author of a work attributed to them.
-
E.
hasFictionalAudience
Indicates that something (such as a work, performance, or communication) is directed toward or involves an audience that exists only within a fictional or imagined context.
- 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_69f76de235048190b990070c23c51b6b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ffc3f0b19c8190b5a749bc3cad21dd |
completed | May 9, 2026, 11:32 p.m. |
| PD | Predicate disambiguation | batch_69ffc1b882808190932b2d43ea5537c9 |
completed | May 9, 2026, 11:22 p.m. |
Created at: May 3, 2026, 4:02 p.m.