Triple
T10427698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greg Morrisett |
E245827
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Greg Morrisett |
E245827
|
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: Greg Morrisett | Statement: [Greg Morrisett, name, Greg Morrisett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greg Morrisett Context triple: [Greg Morrisett, name, Greg Morrisett]
-
A.
Greg Morrisett
chosen
Greg Morrisett is a computer scientist known for his work on programming languages and type systems, particularly in the design of safe and secure systems.
-
B.
Mike Garfath
Mike Garfath is a cinematographer best known for his work on the British neo-noir film "Croupier."
-
C.
Tim Kitzrow
Tim Kitzrow is a sports announcer best known as the iconic, over-the-top voice of the classic arcade basketball video game NBA Jam.
-
D.
Michael Zager
Michael Zager is an American record producer, composer, and arranger best known for his work in disco and pop music, including the hit "Let's All Chant."
-
E.
Robert Prosky
Robert Prosky was an American character actor known for his warm, authoritative presence in film, television, and theater, with notable roles in works like "Hill Street Blues," "Broadcast News," and numerous stage productions.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea4a7dcc81909a830e08656a1c0c |
completed | April 7, 2026, 11:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fc2b50b48190b1d5b29d19a240c2 |
completed | April 9, 2026, 7:21 p.m. |
Created at: April 6, 2026, 12:13 p.m.