Triple
T16146803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Peterman |
E391804
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Peterman
Peterman is a surname most notably associated with American cinematographer Don Peterman, known for his work on several popular Hollywood films.
|
E1196931
|
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: Peterman | Statement: [Don Peterman, familyName, Peterman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peterman Context triple: [Don Peterman, familyName, Peterman]
-
A.
Peter Cambor
Peter Cambor is an American actor best known for his television roles, including a main part on the series "NCIS: Los Angeles" and a starring role in the comedy-drama "Roadies."
-
B.
Peter Rive
Peter Rive is a technology entrepreneur best known as a co-founder and former executive of the solar energy services company SolarCity.
-
C.
Erdman
Erdman is a masculine given name most notably borne by Disney story artist and screenwriter Erdman Penner.
-
D.
Peter Pau
Peter Pau is an acclaimed Hong Kong cinematographer best known internationally for his Oscar-winning work on the film "Crouching Tiger, Hidden Dragon."
-
E.
Pittman
Pittman is a surname of English origin borne by various notable individuals across politics, sports, and the arts.
- 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: Peterman Triple: [Don Peterman, familyName, Peterman]
Generated description
Peterman is a surname most notably associated with American cinematographer Don Peterman, known for his work on several popular Hollywood films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peterman Target entity description: Peterman is a surname most notably associated with American cinematographer Don Peterman, known for his work on several popular Hollywood films.
-
A.
Peter Cambor
Peter Cambor is an American actor best known for his television roles, including a main part on the series "NCIS: Los Angeles" and a starring role in the comedy-drama "Roadies."
-
B.
Peter Rive
Peter Rive is a technology entrepreneur best known as a co-founder and former executive of the solar energy services company SolarCity.
-
C.
Erdman
Erdman is a masculine given name most notably borne by Disney story artist and screenwriter Erdman Penner.
-
D.
Peter Pau
Peter Pau is an acclaimed Hong Kong cinematographer best known internationally for his Oscar-winning work on the film "Crouching Tiger, Hidden Dragon."
-
E.
Pittman
Pittman is a surname of English origin borne by various notable individuals across politics, sports, and the arts.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21d947e68819081b4b7c757ce71b6 |
completed | April 17, 2026, 11:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7a7dc3481909f933acd72d6feff |
completed | May 10, 2026, 3:12 a.m. |
| NEDg | Description generation | batch_69fff81bb0008190947eeff64dc8eb88 |
completed | May 10, 2026, 3:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fff8905ce48190b99f8cc3504efba2 |
completed | May 10, 2026, 3:16 a.m. |
Created at: April 10, 2026, 5:01 a.m.