Triple
T10032083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Misirlou |
E204874
|
entity |
| Predicate | yearFilmUsageBecameFamous |
P38928
|
FINISHED |
| Object | 1994 |
—
|
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: 1994 | Statement: [Misirlou, yearFilmUsageBecameFamous, 1994]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearFilmUsageBecameFamous Context triple: [Misirlou, yearFilmUsageBecameFamous, 1994]
-
A.
madeFamousByFilm
chosen
Indicates that something became widely known or gained significant public recognition as a result of being featured in a film.
-
B.
yearOfFilmAppearance
Indicates the specific year in which a film appearance by an entity took place.
-
C.
soundFilmDebutDate
Indicates the date on which an entity first appeared in a sound film.
-
D.
helpedPropelToMainstreamFame
Indicates that one entity significantly contributed to another entity’s rise to widespread public recognition or mainstream popularity.
-
E.
wasNamedInYear
Indicates that an entity received or was given its name in a specific year.
- 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_69ca834d77188190ad645e33e8ca3200 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdce461d6481908cc8f968856e0337 |
completed | April 2, 2026, 2:02 a.m. |
| PD | Predicate disambiguation | batch_69cd4b8638508190b22acc65500ec7d6 |
completed | April 1, 2026, 4:44 p.m. |
Created at: March 30, 2026, 8:54 p.m.