Triple
T16340238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorraine Baines |
E396776
|
entity |
| Predicate | coCreatedBy |
P7732
|
FINISHED |
| Object | Bob Gale |
E187115
|
NE 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: Bob Gale | Statement: [Lorraine Baines, coCreatedBy, Bob Gale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bob Gale Context triple: [Lorraine Baines, coCreatedBy, Bob Gale]
-
A.
Bob Gale
chosen
Bob Gale is an American screenwriter, producer, and director best known for co-writing the "Back to the Future" film trilogy.
-
B.
Michael Fleischer
Michael Fleischer is a relatively obscure individual whose primary distinguishing feature is sharing the surname associated with the Fleischer family name.
-
C.
Bob Ridley
Bob Ridley is an American soccer coach best known for managing the Dallas Tornado in the North American Soccer League.
-
D.
Christopher Landon
Christopher Landon is an American film director, screenwriter, and producer best known for his work on the "Paranormal Activity" series and the "Happy Death Day" films.
-
E.
Phil Tippett
Phil Tippett is an acclaimed American visual effects supervisor and stop-motion animator renowned for his groundbreaking creature and character work on films such as Star Wars, Jurassic Park, and RoboCop.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2da09dcf48190b6fdd14b1812c56a |
completed | April 18, 2026, 1:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00261b31c08190908a72bff20871be |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:07 a.m.