Triple
T8207460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Richest Girl in the World |
E191721
|
entity |
| Predicate | featuresFilmStar |
P5563
|
FINISHED |
| Object | Miriam Hopkins as lead |
—
|
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: Miriam Hopkins as lead | Statement: [The Richest Girl in the World, featuresFilmStar, Miriam Hopkins as lead]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresFilmStar Context triple: [The Richest Girl in the World, featuresFilmStar, Miriam Hopkins as lead]
-
A.
featuresCast
Indicates that a creative work includes a particular person or group as part of its cast.
-
B.
starredActor
chosen
Indicates that an actor performed a leading or significant role in a particular production or work.
-
C.
filmAssociatedWith
Indicates a general relationship or connection between a film and another entity, such as a person, organization, event, or work.
-
D.
madeFamousByFilm
Indicates that something became widely known or gained significant public recognition as a result of being featured in a film.
-
E.
laterFeaturedCastFrom
Indicates that one entity appears as a featured cast member in a later work, episode, or installment relative to another entity.
- 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_69ca82c7f3e08190857bf1fc63b2a10c |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb726d26ec8190957da68227f5ce61 |
completed | March 31, 2026, 7:06 a.m. |
| PD | Predicate disambiguation | batch_69cb36ad01ac81909609b15f6a6c8581 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:43 p.m.