Triple
T7022401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Superman: The Movie |
E162858
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Stuart Baird |
E275759
|
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: Stuart Baird | Statement: [Superman: The Movie, editedBy, Stuart Baird]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stuart Baird Context triple: [Superman: The Movie, editedBy, Stuart Baird]
-
A.
Stuart Baird
chosen
Stuart Baird is a British film editor and director renowned for his work on major Hollywood action and blockbuster films such as the James Bond and Lethal Weapon series.
-
B.
Stuart Gilmore
Stuart Gilmore was an American film editor known for his work on numerous Hollywood productions from the 1930s through the 1960s.
-
C.
Stuart Burge
Stuart Burge was a British film, television, and theatre director best known for his adaptations of classic plays, particularly works by Shakespeare.
-
D.
Stuart Thompson
Stuart Thompson was a prominent Broadway theatre producer known for backing numerous successful plays and musicals.
-
E.
Stuart Bailey
Stuart Bailey is a fictional private detective best known as one of the main characters in the classic American television series "77 Sunset Strip."
- 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_69c6885b26248190a857541e3d10e299 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e1edf3608190b7ba0bfb85710e97 |
completed | March 27, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8029da4688190ae479d3f791aa1c2 |
completed | March 28, 2026, 4:32 p.m. |
Created at: March 27, 2026, 2:35 p.m.