Triple
T24151061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Funny Girl (stage musical) |
E598532
|
entity |
| Predicate | 2022RevivalStar |
P150899
|
FINISHED |
| Object | Beanie Feldstein |
—
|
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: Beanie Feldstein | Statement: [Funny Girl (stage musical), 2022RevivalStar, Beanie Feldstein]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 2022RevivalStar Context triple: [Funny Girl (stage musical), 2022RevivalStar, Beanie Feldstein]
-
A.
revivalStars
Indicates a relationship where one entity initiates, leads, or is central to a revival, renewal, or comeback of another entity.
-
B.
2022RevivalCity
Indicates a relationship where an entity is associated with a city that experienced a notable revival or renewal in the year 2022.
-
C.
2022RevivalTheatre
chosen
Indicates a relationship where an entity is associated with a theatrical revival production that took place in the year 2022.
-
D.
2023RevivalAward
Indicates a recognition given in 2023 for successfully reviving, restoring, or bringing renewed prominence to something that had declined or been inactive.
-
E.
revival
Indicates the act of bringing something back into use, popularity, or active existence after a period of decline, dormancy, or disuse.
- 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_69e288c9e488819093dd1acd91b08b8a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1e0e108308190ba8740590a1c5130 |
completed | April 29, 2026, 10:43 a.m. |
| PD | Predicate disambiguation | batch_69f176585f3481909beb907de252cd98 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 11:30 p.m.