Triple
T5234986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Klute |
E118199
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Michael Small |
E226346
|
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: Michael Small | Statement: [Klute, musicBy, Michael Small]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Small Context triple: [Klute, musicBy, Michael Small]
-
A.
Michael Small
chosen
Michael Small was an American film composer best known for his suspenseful and atmospheric scores for 1970s and 1980s thrillers.
-
B.
Mike Little
Mike Little is a British software developer best known as the co‑founder and original co-author of the WordPress content management system.
-
C.
Eric McLeod
Eric McLeod is a film producer known for his work on major Hollywood action and genre movies, including the monster crossover blockbuster "Godzilla vs. Kong."
-
D.
Kevin Cossom
Kevin Cossom is an American singer, songwriter, and record producer known for his R&B and hip-hop collaborations and songwriting for major artists.
-
E.
Michael Snodgrass
Michael Snodgrass is a person notable enough to be recognized as a bearer of the surname Snodgrass.
- 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_69bd4467db0881909b3b0982df32cc8f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b064b6881909f5746f55aa422c6 |
completed | March 20, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69befe6323708190bfc95f01c65dc234 |
completed | March 21, 2026, 8:24 p.m. |
Created at: March 20, 2026, 1:49 p.m.