Triple
T9825612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Newman |
E238645
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Leslie Newman |
E305386
|
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: Leslie Newman | Statement: [David Newman, spouse, Leslie Newman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leslie Newman Context triple: [David Newman, spouse, Leslie Newman]
-
A.
Leslie Newman
chosen
Leslie Newman is a screenwriter best known for co-writing several of the Christopher Reeve-era Superman films, including Superman III.
-
B.
Leslie Easterbrook
Leslie Easterbrook is an American actress best known for her role as Sergeant Debbie Callahan in the "Police Academy" film series.
-
C.
Leslie Alexander
Leslie Alexander is an American businessman best known as the former owner of the NBA’s Houston Rockets and the WNBA’s Houston Comets.
-
D.
Leslie Alexander
Leslie Alexander is known primarily as a child of American politician and former U.S. Senator Lamar Alexander.
-
E.
Leslie Aday
Leslie Aday is the former wife of rock singer Meat Loaf, known for her long marriage to the performer during the height of his fame.
- 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_69ca84e0dd1881909800765d1e21f735 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3181c688190afea3b27ee392a30 |
completed | April 2, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5bc17c08190ad094def4fbf9921 |
completed | April 5, 2026, 3:23 a.m. |
Created at: March 30, 2026, 8:31 p.m.