Triple
T25009760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Big House (1930 film) |
E625947
|
entity |
| Predicate | awardReceivedByWriter |
P25299
|
FINISHED |
| Object | Frances Marion |
—
|
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: Frances Marion | Statement: [The Big House (1930 film), awardReceivedByWriter, Frances Marion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardReceivedByWriter Context triple: [The Big House (1930 film), awardReceivedByWriter, Frances Marion]
-
A.
awardReceived
Indicates that an entity has been granted or honored with a specific award or recognition.
-
B.
awardReceivedByWork
Indicates that a particular award was given in recognition of a specific work (such as a book, film, or artwork).
-
C.
notableAwardOfAuthor
Indicates that a particular award is a significant or distinguished honor received by the author.
-
D.
awardedAuthor
chosen
Indicates that an author has received an award or recognition.
-
E.
awardGivenBy
Indicates that an award is conferred or presented by one entity to another.
- 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_69e2ff27755881908490178e83701160 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f5f6baf2d48190a6a4cd6501be87d2 |
completed | May 2, 2026, 1:06 p.m. |
| PD | Predicate disambiguation | batch_69f5afd5baac8190bb8ed576813c8591 |
completed | May 2, 2026, 8:03 a.m. |
Created at: April 18, 2026, 6:05 a.m.