Triple
T19982118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Squyres |
E493841
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Tim Squyres |
—
|
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: Tim Squyres | Statement: [Squyres, hasNotableBearer, Tim Squyres]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tim Squyres Context triple: [Squyres, hasNotableBearer, Tim Squyres]
-
A.
Tim Squyres
chosen
Tim Squyres is an American film editor best known for his long-time collaboration with director Ang Lee on acclaimed films such as "Crouching Tiger, Hidden Dragon" and "Life of Pi."
-
B.
Daniel Sleator
Daniel Sleator is a computer scientist known for his contributions to data structures and algorithms, including the development of splay trees.
-
C.
Chris Galletta
Chris Galletta is an American screenwriter best known for writing the coming-of-age comedy film "The Kings of Summer."
-
D.
Paul Quattrone
Paul Quattrone is an American drummer best known for his work with experimental and garage rock bands, including Thee Oh Sees.
-
E.
Doug Sweeney
Doug Sweeney is a scholar of American religious history known for his work on Jonathan Edwards and evangelicalism.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65d13a8a88190bf5f4f697793f4c9 |
completed | April 20, 2026, 5:06 p.m. |
Created at: April 11, 2026, 3:28 p.m.