Triple
T15506452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin Hill |
E379093
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Michael Michele |
E536712
|
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 Michele | Statement: [Kevin Hill, starring, Michael Michele]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Michele Context triple: [Kevin Hill, starring, Michael Michele]
-
A.
Michael Michele
chosen
Michael Michele is an American actress best known for her roles in films like "New Jack City" and television series such as "ER" and "Homicide: Life on the Street."
-
B.
Michael Christ
Michael Christ is a mathematician known for his contributions to harmonic analysis and partial differential equations, and for being a student of Elias Stein.
-
C.
Michael Patrick Jann
Michael Patrick Jann is an American film and television director and comedian best known for his work on the cult mockumentary film "Drop Dead Gorgeous" and the sketch comedy series "The State."
-
D.
Michael Luciano
Michael Luciano is a film editor best known for his long collaboration with director Robert Aldrich, including work on the noir classic "Kiss Me Deadly."
-
E.
Michael Joseph
Michael Joseph is a British publishing imprint of Penguin Books known for producing a wide range of commercial fiction and non-fiction titles.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fcea8888190a7b69aca360183c3 |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff366e472c819093472da2a49593c6 |
completed | May 9, 2026, 1:28 p.m. |
Created at: April 10, 2026, 3:55 a.m.