Triple
T1465757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert B. Leighton |
E27017
|
entity |
| Predicate | coauthorWith |
P2389
|
FINISHED |
| Object | Matthew Sands |
E43109
|
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: Matthew Sands | Statement: [Robert B. Leighton, coauthorWith, Matthew Sands]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matthew Sands Context triple: [Robert B. Leighton, coauthorWith, Matthew Sands]
-
A.
Matthew Sands
chosen
Matthew Sands was an American physicist and educator best known as one of the co-authors of the influential textbook series "The Feynman Lectures on Physics."
-
B.
David Scearce
David Scearce is a Canadian screenwriter best known for adapting Christopher Isherwood’s novel into the acclaimed film "A Single Man."
-
C.
Nat Mauldin
Nat Mauldin is an American screenwriter and television writer known for his work on family-oriented films and popular TV comedies.
-
D.
Matthew Rutler
Matthew Rutler is an American film production assistant and guitarist best known for his long-term relationship and marriage to singer Christina Aguilera.
-
E.
Jonathan Lisco
Jonathan Lisco is an American television writer, producer, and showrunner known for his work on series such as Animal Kingdom, Halt and Catch Fire, and Jack & Bobby.
- 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_69a496d25d6881909dbd84f86d763992 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c5bb4e288190997c7e8985e9a2bd |
completed | March 1, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad468a1e088190b9f4acea4ad506b4 |
completed | March 8, 2026, 9:51 a.m. |
Created at: March 1, 2026, 8:01 p.m.