Triple
T36114378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Broadway production of Rodgers & Hammerstein's Cinderella |
E1044578
|
entity |
| Predicate | starredReplacementMadame |
P184943
|
FINISHED |
| Object | Sherri Shepherd |
—
|
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: Sherri Shepherd | Statement: [Broadway production of Rodgers & Hammerstein's Cinderella, starredReplacementMadame, Sherri Shepherd]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: starredReplacementMadame Context triple: [Broadway production of Rodgers & Hammerstein's Cinderella, starredReplacementMadame, Sherri Shepherd]
-
A.
functionDuringMadameDeStaël
Indicates that a function, event, or activity took place during the time associated with Madame de Staël.
-
B.
relationshipToMadameValmondé
Indicates the specific familial or social connection that an entity has with Madame Valmondé.
-
C.
primaryReplacementFor
Indicates that one entity serves as the main or preferred substitute or successor for another entity.
-
D.
replacedStandard
Indicates that one standard has been superseded or taken the place of another standard.
-
E.
relationshipToMadameMerle
Indicates the specific nature or type of relationship an entity has with Madame Merle.
- F. None of above. chosen
Provenance (4 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_69f76e344a4c8190af3858c6d78ba88f |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b69b333081909cadbed3fcb8ecf5 |
completed | May 3, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c2a5f8819094ad4621d7b97e0c |
completed | May 3, 2026, 8:49 p.m. |
| PDg | Predicate description generation | batch_69f7b69a74a08190b31b1201278a2c57 |
completed | May 3, 2026, 8:56 p.m. |
Created at: May 3, 2026, 4:08 p.m.