Triple
T18629960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aida (character) |
E455385
|
entity |
| Predicate | actAppearances |
P74071
|
FINISHED |
| Object | Act I |
—
|
LITERAL 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: Act I | Statement: [Aida (character), actAppearances, Act I]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: actAppearances Context triple: [Aida (character), actAppearances, Act I]
-
A.
actsIn
chosen
Indicates that an entity performs or appears in a creative work, such as a film, play, or show.
-
B.
tvShowAppearance
Indicates that an entity appears or participates in a particular television show.
-
C.
filmAppearanceType
Indicates the type or nature of a subject’s appearance in a film, such as a role, cameo, or other participation category.
-
D.
cultFilmAppearance
Indicates that an entity appears in, or is featured as part of, a cult film.
-
E.
laterDepictedIn
Indicates that an entity is portrayed or represented in a depiction (such as an image, artwork, or illustration) that was created at a later time than the entity itself.
- 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54f06f4a081909b64f33814577488 |
completed | April 19, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69e478d4a7948190a4bb9223bb5dddfc |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:46 a.m.