Triple
T7412169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lionel Newman |
E171030
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Emil Newman |
E92577
|
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: Emil Newman | Statement: [Lionel Newman, sibling, Emil Newman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emil Newman Context triple: [Lionel Newman, sibling, Emil Newman]
-
A.
Emil Newman
chosen
Emil Newman was an American film composer and conductor, part of the renowned Newman family of Hollywood film scorers.
-
B.
Victor Hammer
Victor Hammer is a cinematographer best known for his work on the comedy film "Billy Madison."
-
C.
Victor Feldbrill
Victor Feldbrill was a prominent Canadian conductor known for championing Canadian composers and leading major orchestras across the country.
-
D.
Peter Hylenski
Peter Hylenski is a Tony Award–winning American sound designer known for his work on numerous major Broadway productions.
-
E.
Radley Metzger
Radley Metzger was an American filmmaker renowned for his stylish, erotically charged art-house films that became emblematic of the Golden Age of Porn in the 1960s and 1970s.
- 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_69c68a618bdc81908d8018edadecd1a4 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2a027148190bdb6a7940389e377 |
completed | March 27, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8112960d48190a9947146e62daa13 |
completed | March 28, 2026, 5:34 p.m. |
Created at: March 27, 2026, 3:11 p.m.