Triple
T5110265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tim Squyres |
E115196
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Squyres
Squyres is a surname most notably associated with individuals such as film editor Tim Squyres.
|
E493841
|
NE FINISHED |
How this triple was built (4 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: Squyres | Statement: [Tim Squyres, familyName, Squyres]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Squyres Context triple: [Tim Squyres, familyName, Squyres]
-
A.
Sagan
Sagan is a surname most famously associated with astronomer and science communicator Carl Sagan and his family.
-
B.
Sagan
Sagan is a town in present-day Żagań, Poland, historically known as a center where the astronomer Johannes Kepler conducted part of his scientific work.
-
C.
McKay
McKay is a surname most notably associated with Claude McKay, a key figure of the Harlem Renaissance and influential Jamaican-American writer and poet.
-
D.
Bardeen
Bardeen is a surname most notably associated with John Bardeen, the American physicist who won the Nobel Prize in Physics twice for his work on the transistor and superconductivity.
-
E.
Sloan
Sloan is a surname most notably associated with Alfred P. Sloan, the influential long-time president and chairman of General Motors.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Squyres Triple: [Tim Squyres, familyName, Squyres]
Generated description
Squyres is a surname most notably associated with individuals such as film editor Tim Squyres.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Squyres Target entity description: Squyres is a surname most notably associated with individuals such as film editor Tim Squyres.
-
A.
Sagan
Sagan is a surname most famously associated with astronomer and science communicator Carl Sagan and his family.
-
B.
Sagan
Sagan is a town in present-day Żagań, Poland, historically known as a center where the astronomer Johannes Kepler conducted part of his scientific work.
-
C.
McKay
McKay is a surname most notably associated with Claude McKay, a key figure of the Harlem Renaissance and influential Jamaican-American writer and poet.
-
D.
Bardeen
Bardeen is a surname most notably associated with John Bardeen, the American physicist who won the Nobel Prize in Physics twice for his work on the transistor and superconductivity.
-
E.
Sloan
Sloan is a Canadian rock band known for its melodic power-pop sound and collaborative songwriting among all four members.
- F. None of above. chosen
Provenance (5 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_69bd4441d1648190a54a533895041987 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75ad362c8190b9cbded390aaea3c |
completed | March 20, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bebaa719748190930dceaeedb346c2 |
completed | March 21, 2026, 3:35 p.m. |
| NEDg | Description generation | batch_69bebb8e5f1c819082f0b59e9524d6e8 |
completed | March 21, 2026, 3:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bebc30029081909b5c937308fefcf2 |
completed | March 21, 2026, 3:41 p.m. |
Created at: March 20, 2026, 1:41 p.m.