Triple
T3879138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emil Newman |
E92577
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Lionel Newman |
E171030
|
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: Lionel Newman | Statement: [Emil Newman, sibling, Lionel Newman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lionel Newman Context triple: [Emil Newman, sibling, Lionel Newman]
-
A.
Lionel Newman
chosen
Lionel Newman was an American composer and conductor best known for his work in film and television music, including a long association with 20th Century Fox.
-
B.
William Newman
William Newman is a name shared by several notable individuals, including figures in fields such as computer science, acting, and academia.
-
C.
Lionel Burnett
Lionel Burnett was one of the sons of renowned British-American novelist Frances Hodgson Burnett, best known as the author of "The Secret Garden" and "A Little Princess."
-
D.
Lionel Bender
Lionel Bender was an American linguist known for his extensive research and classification work on African languages, particularly those in the Nilo-Saharan and Afroasiatic families.
-
E.
Walter Newman
Walter Newman was an American screenwriter known for his work on classic films such as "The Magnificent Seven" and "Cat Ballou."
- 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_69aed967448c819086c4b358d37b25aa |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec7438808190b6c90fcb3000ebe9 |
completed | March 9, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51c87214881908e03f5c770c58713 |
completed | March 14, 2026, 8:29 a.m. |
Created at: March 9, 2026, 3:20 p.m.