Triple
T37615118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Christie (1923 film) |
E935897
|
entity |
| Predicate | hasLaterAdaptationStarring |
P201317
|
FINISHED |
| Object | Greta Garbo |
—
|
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: Greta Garbo | Statement: [Anna Christie (1923 film), hasLaterAdaptationStarring, Greta Garbo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLaterAdaptationStarring Context triple: [Anna Christie (1923 film), hasLaterAdaptationStarring, Greta Garbo]
-
A.
hasLaterAdaptation
Indicates that one work has been adapted into another work that was created or released at a later time.
-
B.
inLaterAdaptations
Indicates that something appears, occurs, or is introduced only in subsequent or later adaptations of an original work or source.
-
C.
hasLaterFilmAdaptation
Indicates that a work has been adapted into a film that was released at a later time than the original work.
-
D.
hasAdaptationsIn
Indicates that something possesses or exhibits adaptations within a particular context, environment, or domain.
-
E.
hasAdaptationDirector
Indicates that an adaptation (such as a film, series, or other derivative work) is directed or overseen by a specific director.
- F. None of above. chosen
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_69f76ed16b748190ad6add183b1be688 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ffe8ebe9fc8190b1934a3c4074370c |
completed | May 10, 2026, 2:09 a.m. |
| PD | Predicate disambiguation | batch_69ffe83a5de88190bed3e8bac86e8760 |
completed | May 10, 2026, 2:06 a.m. |
| PDg | Predicate description generation | batch_69ffe8eb47d48190acf7794ebe3ef4b8 |
completed | May 10, 2026, 2:09 a.m. |
Created at: May 3, 2026, 4:18 p.m.