Triple
T23278987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peggy Sue Got Married |
E588804
|
entity |
| Predicate | distributedBy |
P1951
|
FINISHED |
| Object | Tri-Star Pictures |
—
|
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: Tri-Star Pictures | Statement: [Peggy Sue Got Married, distributedBy, Tri-Star Pictures]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tri-Star Pictures Context triple: [Peggy Sue Got Married, distributedBy, Tri-Star Pictures]
-
A.
Tri-Star Pictures
chosen
Tri-Star Pictures is an American film production and distribution company known for releasing a wide range of Hollywood movies since the 1980s.
-
B.
Varsity Pictures
Varsity Pictures is a film and television production company known for creating youth-oriented and family-friendly entertainment content.
-
C.
Monogram Pictures
Monogram Pictures was an American film studio and distributor best known for producing and releasing low-budget B movies during Hollywood’s Golden Age.
-
D.
Monumental Pictures
Monumental Pictures is a British film and television production company known for producing feature films such as the 2019 adaptation of "Cats."
-
E.
Monumental Pictures
Monumental Pictures is the fictional Hollywood film studio featured in the classic musical film "Singin' in the Rain."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d16e2c08190a291de254703129e |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196419eac819081d0beb5767046dc |
completed | April 29, 2026, 5:25 a.m. |
Created at: April 17, 2026, 4:49 p.m.