Triple
T5958938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akiva Goldsman |
E132585
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Goldsman |
E132585
|
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: Goldsman | Statement: [Akiva Goldsman, familyName, Goldsman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goldsman Context triple: [Akiva Goldsman, familyName, Goldsman]
-
A.
Goldsman
chosen
Goldsman is the surname of Akiva Goldsman, an American screenwriter, director, and producer known for films such as "A Beautiful Mind."
-
B.
Nolan Gould
Nolan Gould is an American actor best known for playing the intellectually quirky Luke Dunphy on the hit television sitcom "Modern Family."
-
C.
Winston Silver
Winston Silver is a lighter, lower-tar and nicotine variant of the Winston brand of cigarettes.
-
D.
Cyrus Voris
Cyrus Voris is an American screenwriter and producer best known for co-writing films like "Bulletproof Monk" and co-creating the television series "Sleeper Cell."
-
E.
Keefer
Keefer was a distinguished racing greyhound renowned for its achievements on the track, earning induction into the Greyhound Hall of 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_69c0086c2364819091e9fe2f58fa2517 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c039c48d0c81908e794c52fddf2ca2 |
completed | March 22, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e3e3736c8190b445156f0c1bdf1f |
completed | March 23, 2026, 6:55 a.m. |
Created at: March 22, 2026, 4:02 p.m.