Triple
T17399532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dharma & Greg |
E423049
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
Erwin More
Erwin More is a television producer best known for his executive production work on the sitcom "Dharma & Greg."
|
E1266853
|
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: Erwin More | Statement: [Dharma & Greg, executiveProducer, Erwin More]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erwin More Context triple: [Dharma & Greg, executiveProducer, Erwin More]
-
A.
Erwin Stoff
Erwin Stoff is a Hollywood film producer and talent manager known for overseeing major studio projects and guiding the careers of high-profile actors.
-
B.
Erwin Madelung
Erwin Madelung was a German physicist best known for the Madelung constant and the Madelung rule describing the order of electron shell filling in atoms.
-
C.
Erwin Kurtz
Erwin Kurtz is a person notable enough to be recognized as a significant bearer of the surname Kurtz.
-
D.
Marten Wassmann
Marten Wassmann is an architect known for his partnership role at the Dutch architecture firm Benthem Crouwel Architekten.
-
E.
Alexander Heppe
Alexander Heppe is a German local politician who serves as the mayor of the town of Eschwege.
- 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: Erwin More Triple: [Dharma & Greg, executiveProducer, Erwin More]
Generated description
Erwin More is a television producer best known for his executive production work on the sitcom "Dharma & Greg."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Erwin More Target entity description: Erwin More is a television producer best known for his executive production work on the sitcom "Dharma & Greg."
-
A.
Erwin Stoff
Erwin Stoff is a Hollywood film producer and talent manager known for overseeing major studio projects and guiding the careers of high-profile actors.
-
B.
Erwin Madelung
Erwin Madelung was a German physicist best known for the Madelung constant and the Madelung rule describing the order of electron shell filling in atoms.
-
C.
Erwin Kurtz
Erwin Kurtz is a person notable enough to be recognized as a significant bearer of the surname Kurtz.
-
D.
Marten Wassmann
Marten Wassmann is an architect known for his partnership role at the Dutch architecture firm Benthem Crouwel Architekten.
-
E.
Alexander Heppe
Alexander Heppe is a German local politician who serves as the mayor of the town of Eschwege.
- 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43ac0596481908c400916d5c1b971 |
completed | April 19, 2026, 2:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01a002b034819099fd74e01bb382b0 |
completed | May 11, 2026, 9:23 a.m. |
| NEDg | Description generation | batch_6a01a176d2488190951bbe07233a37e4 |
completed | May 11, 2026, 9:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01a58b12088190828078c69c4fff4b |
completed | May 11, 2026, 9:46 a.m. |
Created at: April 10, 2026, 5:45 a.m.