Triple
T20881970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Telefon |
E514173
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Michael C. Butler |
—
|
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: Michael C. Butler | Statement: [Telefon, cinematographyBy, Michael C. Butler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael C. Butler Context triple: [Telefon, cinematographyBy, Michael C. Butler]
-
A.
Michael C. Butler
chosen
Michael C. Butler is a cinematographer best known for his work on the blockbuster sequel film "Jaws 2."
-
B.
Steven L. Butler
Steven L. Butler is a film editor best known for his work on the science-fiction parody movie "Spaceballs."
-
C.
Michael A. Elliott
Michael A. Elliott is an American literary scholar and academic administrator who serves as the president of Amherst College.
-
D.
John K. Butler
John K. Butler was an American screenwriter best known for his work on mid-20th-century Westerns and crime films.
-
E.
Michael W. Watters
Michael W. Watters is an editor known for his work on the rock opera film "Repo! The Genetic Opera."
- 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_69e0b4f733f081908a401c0b7beb0b9f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c67a33548190b0f5ba58b001d387 |
completed | April 21, 2026, 12:36 a.m. |
Created at: April 16, 2026, 12:46 p.m.