Triple
T11877072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Maltese |
E282555
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Michael Maltese |
E282555
|
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 Maltese | Statement: [Michael Maltese, name, Michael Maltese]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Maltese Context triple: [Michael Maltese, name, Michael Maltese]
-
A.
Michael Maltese
chosen
Michael Maltese was an American animation writer and storyman best known for his influential work on classic Warner Bros. cartoons, including many iconic Looney Tunes characters and shorts.
-
B.
Morio Muskat
Morio Muskat is a white wine grape variety from Germany, known for its aromatic, Muscat-like character and use in producing light, fruity wines.
-
C.
Frank Gruber
Frank Gruber was an American writer best known for his prolific work in pulp fiction, mystery and Western novels, and Hollywood screenplays.
-
D.
Stanley Mott
Stanley Mott is a central fictional aerospace engineer and spaceflight pioneer in James A. Michener’s novel "Space."
-
E.
Seymour Krelborn
Seymour Krelborn is the meek, plant-loving florist’s assistant who becomes entangled with a man-eating plant in the musical and film "Little Shop of Horrors."
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8be1b6a5c81909a18c54205dda09c |
completed | April 10, 2026, 9:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f281d8c65081908ebaf4bff5670c47 |
completed | April 29, 2026, 10:10 p.m. |
Created at: April 8, 2026, 9:44 p.m.