Triple
T28031657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miami Sharks |
E708285
|
entity |
| Predicate | formerOwnerInFilm |
P90818
|
FINISHED |
| Object | Anthony Pagniacci |
—
|
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: Anthony Pagniacci | Statement: [Miami Sharks, formerOwnerInFilm, Anthony Pagniacci]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerOwnerInFilm Context triple: [Miami Sharks, formerOwnerInFilm, Anthony Pagniacci]
-
A.
ownedByInFilm
Indicates that one entity is portrayed as being owned or possessed by another entity within the context of a specific film.
-
B.
givenNameInFilm
Indicates that a person is referred to by a particular given (first) name within the context of a specific film.
-
C.
directorPreviousFilm
Indicates that the referenced film is the one a director worked on immediately before the current film.
-
D.
directorWhoRemained
Indicates that a person is the director who continued in their role or position over a specified period or through a particular change or event.
-
E.
formerOwnerInFiction
chosen
Indicates that one entity is depicted in a fictional context as having previously owned 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_69ef9b6bdd9c8190bb3a574a03774ad1 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69fd7b0503a08190ba07338365b6fcc9 |
completed | May 8, 2026, 5:56 a.m. |
| PD | Predicate disambiguation | batch_69fd7a9733dc81909199f453c0cc2bc1 |
completed | May 8, 2026, 5:54 a.m. |
Created at: April 27, 2026, 8:17 p.m.