Triple
T19634091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom B. Brown |
E471343
|
entity |
| Predicate | coAuthorWith |
P398
|
FINISHED |
| Object | Ariel Herbert-Voss |
—
|
NE NERFINISHED |
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: Ariel Herbert-Voss | Statement: [Tom B. Brown, coAuthorWith, Ariel Herbert-Voss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ariel Herbert-Voss Context triple: [Tom B. Brown, coAuthorWith, Ariel Herbert-Voss]
-
A.
Ariel Herbert-Voss
chosen
Ariel Herbert-Voss is a machine learning researcher known for her work at OpenAI on large language models and AI safety.
-
B.
Ariel Shepherd-Oppenheim
Ariel Shepherd-Oppenheim is an American writer and the daughter of actress Cybill Shepherd.
-
C.
Ariel Vromen
Ariel Vromen is an Israeli film director, screenwriter, and producer best known for directing crime and thriller films such as "The Iceman" and "Criminal."
-
D.
Ariel Moore
Ariel Moore is the rebellious and spirited teenage daughter of a strict minister in the musical film "Footloose," whose desire for freedom and dancing drives much of the story’s conflict.
-
E.
Ariel Nicoli
Ariel Nicoli is one of the children of South African supermodel Candice Swanepoel.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64104ff2881908fec49b7fba5a2e6 |
completed | April 20, 2026, 3:06 p.m. |
Created at: April 10, 2026, 1:44 p.m.