Triple
T37183407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Che (Evita) |
E921256
|
entity |
| Predicate | presentInVersion |
P31935
|
FINISHED |
| Object | Evita (original London production) |
—
|
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: Evita (original London production) | Statement: [Che (Evita), presentInVersion, Evita (original London production)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: presentInVersion Context triple: [Che (Evita), presentInVersion, Evita (original London production)]
-
A.
alsoAvailableInVersion
chosen
Indicates that the same item, feature, or content is offered in another specified version or edition.
-
B.
introducedVersionOf
Indicates that one entity is the version in which another entity was first introduced or made available.
-
C.
presentedSinceEdition
Indicates that something has been continuously presented, featured, or included starting from a specified edition onward.
-
D.
hasVersionIn
Indicates that one entity exists as a specific version or variant within the context, format, or system represented by another entity.
-
E.
introducedInProduct
Indicates that something (such as a feature, component, or concept) first appeared or was initially made available within a particular product.
- 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_69f76ea250bc819083f28d81de25cd0c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd7fdafbe881908a31fcb407af2c34 |
completed | May 8, 2026, 6:16 a.m. |
| PD | Predicate disambiguation | batch_69fd7ef0ea908190b5d83f71565bdb1c |
completed | May 8, 2026, 6:13 a.m. |
Created at: May 3, 2026, 4:15 p.m.