Triple
T1094732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akiva Goldsman |
E24246
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Goldsman
Goldsman is the surname of Akiva Goldsman, an American screenwriter, director, and producer known for films such as "A Beautiful Mind."
|
E132585
|
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: 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.
Daboll
Daboll is a surname most prominently associated with Brian Daboll, a professional American football coach in the National Football League.
-
B.
Gordon
Gordon is the middle name of the famed Romantic poet Lord Byron, whose full name is George Gordon Byron.
-
C.
Jeffrey
Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
-
D.
Galt
Galt is a small city in Sacramento County, California, known for its residential communities and proximity to the Sacramento metropolitan area.
-
E.
Galen Black
Galen Black was one of the respondents in the landmark U.S. Supreme Court case Employment Division v. Smith, which addressed the limits of religious freedom protections under the First Amendment.
- 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: Goldsman Triple: [Akiva Goldsman, familyName, Goldsman]
Generated description
Goldsman is the surname of Akiva Goldsman, an American screenwriter, director, and producer known for films such as "A Beautiful Mind."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Goldsman Target entity description: Goldsman is the surname of Akiva Goldsman, an American screenwriter, director, and producer known for films such as "A Beautiful Mind."
-
A.
Daboll
Daboll is a surname most prominently associated with Brian Daboll, a professional American football coach in the National Football League.
-
B.
Gordon
Gordon is the middle name of the famed Romantic poet Lord Byron, whose full name is George Gordon Byron.
-
C.
Jeffrey
Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
-
D.
Galt
Galt is a small city in Sacramento County, California, known for its residential communities and proximity to the Sacramento metropolitan area.
-
E.
Galen Black
Galen Black was one of the respondents in the landmark U.S. Supreme Court case Employment Division v. Smith, which addressed the limits of religious freedom protections under the First Amendment.
- 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_69a4940542308190ac2a0b1f730b7cfc |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b99e92308190b8a8c499e1630672 |
completed | March 1, 2026, 10:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac5ea6cc888190b06f640a1e4a5147 |
completed | March 7, 2026, 5:21 p.m. |
| NEDg | Description generation | batch_69ac5f15c2808190905e40c6db9d957c |
completed | March 7, 2026, 5:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac633749008190bae63644d5ee7cea |
completed | March 7, 2026, 5:41 p.m. |
Created at: March 1, 2026, 7:42 p.m.