Triple
T658291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alfred Newman |
E11696
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object |
Emil Newman
Emil Newman was an American film composer and conductor, part of the renowned Newman family of Hollywood film scorers.
|
E92577
|
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: Emil Newman | Statement: [Alfred Newman, sibling, Emil Newman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emil Newman Context triple: [Alfred Newman, sibling, Emil Newman]
-
A.
Philip Sabes
Philip Sabes is a neuroscientist and entrepreneur known for his work on brain–computer interfaces and for co-founding the neurotechnology company Neuralink.
-
B.
Emil
Emil is the given name of Carl Gustaf Emil Mannerheim, the renowned Finnish military leader and statesman who served as President of Finland.
-
C.
Emanuel
Emanuel is a surname most prominently associated with Rahm Emanuel, the American politician and former mayor of Chicago.
-
D.
Theodore Brentano
Theodore Brentano was an American diplomat and jurist who served as the first U.S. Ambassador to Hungary in the early 20th century.
-
E.
Emil Sieg
Emil Sieg was a German linguist and philologist known for his pioneering work on Tocharian and other Indo-European languages.
- 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: Emil Newman Triple: [Alfred Newman, sibling, Emil Newman]
Generated description
Emil Newman was an American film composer and conductor, part of the renowned Newman family of Hollywood film scorers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Emil Newman Target entity description: Emil Newman was an American film composer and conductor, part of the renowned Newman family of Hollywood film scorers.
-
A.
Philip Sabes
Philip Sabes is a neuroscientist and entrepreneur known for his work on brain–computer interfaces and for co-founding the neurotechnology company Neuralink.
-
B.
Emil
Emil is the given name of Carl Gustaf Emil Mannerheim, the renowned Finnish military leader and statesman who served as President of Finland.
-
C.
Emanuel
Emanuel is a surname most prominently associated with Rahm Emanuel, the American politician and former mayor of Chicago.
-
D.
Theodore Brentano
Theodore Brentano was an American diplomat and jurist who served as the first U.S. Ambassador to Hungary in the early 20th century.
-
E.
Emil Sieg
Emil Sieg was a German linguist and philologist known for his pioneering work on Tocharian and other Indo-European languages.
- 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_69a4932862a0819098be659c814e4981 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49fa55e048190bd9913c6c31772d0 |
completed | March 1, 2026, 8:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a6732a8c0881909753261f9256fcf2 |
completed | March 3, 2026, 5:35 a.m. |
| NEDg | Description generation | batch_69a6738d22f48190b7933ffeb84e8b9c |
completed | March 3, 2026, 5:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a673dc2af88190896776ed418ffa44 |
completed | March 3, 2026, 5:38 a.m. |
Created at: March 1, 2026, 7:36 p.m.