Triple
T26384750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Strongest Suit |
E663246
|
entity |
| Predicate | characterWhoPerformsInShow |
P12208
|
FINISHED |
| Object | Amneris |
—
|
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: Amneris | Statement: [My Strongest Suit, characterWhoPerformsInShow, Amneris]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterWhoPerformsInShow Context triple: [My Strongest Suit, characterWhoPerformsInShow, Amneris]
-
A.
characterPerformer
Indicates that a performer portrays or voices a particular character in a work.
-
B.
performerInShow
Indicates that an entity participates as a performer in a particular show or performance.
-
C.
performerCharacterName
Indicates that a performer is associated with or portrays a specific character name in a performance or work.
-
D.
directorCharacterOf
Indicates that a director is responsible for directing a particular character in a work (e.g., film, TV show, or play).
-
E.
characterIn
chosen
Indicates that an entity appears as a character within a specified work, story, or narrative.
- 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_69ee88374adc81909868f3bab374a32f |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f6f8565134819096aac0175f924a9f |
completed | May 3, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f6f65fd1d08190b88e5e68ba268500 |
completed | May 3, 2026, 7:16 a.m. |
Created at: April 26, 2026, 11:21 p.m.