Triple
T19796829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Stewart |
E475564
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object | Cy Coleman |
—
|
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: Cy Coleman | Statement: [Michael Stewart, collaboratedWith, Cy Coleman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cy Coleman Context triple: [Michael Stewart, collaboratedWith, Cy Coleman]
-
A.
Cy Coleman
chosen
Cy Coleman was an American composer and songwriter best known for his work on Broadway musicals such as "Sweet Charity," "Barnum," and "City of Angels."
-
B.
SY Coleman
SY Coleman is a company that employed American actor and director Jay Garner.
-
C.
Kevin Coleman
Kevin Coleman is a musician best known as a member of the American rock band Smash Mouth.
-
D.
Kevin Coleman
Kevin Coleman is an American local politician serving as the mayor of Westland, Michigan.
-
E.
Lenny Cole
Lenny Cole is a ruthless and manipulative London crime boss in the film "RocknRolla," known for orchestrating high-stakes real estate scams and underworld dealings.
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653c723548190ac9bfaecaf8afb13 |
completed | April 20, 2026, 4:26 p.m. |
Created at: April 10, 2026, 1:49 p.m.