Triple
T30649627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2017 Broadway revival |
E780217
|
entity |
| Predicate | ErzulieActor |
P125392
|
FINISHED |
| Object | Lea Salonga |
—
|
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: Lea Salonga | Statement: [2017 Broadway revival, ErzulieActor, Lea Salonga]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ErzulieActor Context triple: [2017 Broadway revival, ErzulieActor, Lea Salonga]
-
A.
eraCharacter
Indicates that a character is associated with, or belongs to, a particular historical or fictional era.
-
B.
europeanFilmActor
Indicates that a person is an actor who performs in films produced in Europe or within the European film industry.
-
C.
actorForCharacterEzra
Indicates that one entity is the actor who portrays or voices the character Ezra.
-
D.
arePlayedBy
chosen
Indicates that one or more performers (such as actors or musicians) carry out, interpret, or execute the referenced roles, characters, or pieces.
-
E.
نوقشفي
Indicates that something or someone was discussed or debated within a particular context or setting.
- 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_69f224a5d2b481908a6853cd0138e2d7 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68a9639048190b515dfe149c59aba |
completed | May 2, 2026, 11:36 p.m. |
| PD | Predicate disambiguation | batch_69f6861170d08190bb98be609d436f84 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:30 p.m.