Triple
T35944371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Girl That I Marry |
E1039547
|
entity |
| Predicate | originalProductionStar |
P59469
|
FINISHED |
| Object | Ethel Merman |
E129340
|
NE FINISHED |
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: Ethel Merman | Statement: [The Girl That I Marry, originalProductionStar, Ethel Merman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalProductionStar Context triple: [The Girl That I Marry, originalProductionStar, Ethel Merman]
-
A.
originalCastPerformer
Indicates that a performer was part of the original cast in the first production or release of a work.
-
B.
originalCast
chosen
Indicates that the subject is a member of the initial group of performers or participants who first originated a role or production.
-
C.
producedPerson
Indicates that one entity created, generated, or brought into existence the person referenced by the other entity.
-
D.
originallyCastLeadActor
Indicates that a person was the lead actor in the original casting of a production (before any later replacements or recasting).
-
E.
portrayedInOriginalProductionBy
Indicates that an entity (such as a role or character) was first brought to life or performed in the original production by a specific performer.
- F. None of above.
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_69f76e24bbd0819096b837d35371639a |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a396df05ad88190bb73085a73c28144 |
completed | June 22, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0895b48190acdd88dc10db7be7 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:07 p.m.