Triple
T10527488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lopez vs Lopez |
E248343
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
Matt Scharping
Matt Scharping is a television producer best known for serving as an executive producer on the sitcom "Lopez vs Lopez."
|
E869504
|
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: Matt Scharping | Statement: [Lopez vs Lopez, executiveProducer, Matt Scharping]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Scharping Context triple: [Lopez vs Lopez, executiveProducer, Matt Scharping]
-
A.
Tim Fagan
Tim Fagan is a person notable enough to be recognized as a bearer of the surname Fagan, though specific widely known achievements or roles are not clearly established.
-
B.
Gale Halderman
Gale Halderman was an American automobile designer best known as the principal stylist behind the original Ford Mustang.
-
C.
Scott Speed
Scott Speed is an American racing driver best known for becoming the first American to compete in Formula One in over a decade during the mid-2000s.
-
D.
Andrew Yates
Andrew Yates is a relatively obscure individual whose name is notably associated with the surname Yates but who does not have widely recognized public prominence.
-
E.
Eric Ranft
Eric Ranft is an entrepreneur best known as a founder of the electronic signature and digital transaction management company DocuSign.
- 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: Matt Scharping Triple: [Lopez vs Lopez, executiveProducer, Matt Scharping]
Generated description
Matt Scharping is a television producer best known for serving as an executive producer on the sitcom "Lopez vs Lopez."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matt Scharping Target entity description: Matt Scharping is a television producer best known for serving as an executive producer on the sitcom "Lopez vs Lopez."
-
A.
Tim Fagan
Tim Fagan is a person notable enough to be recognized as a bearer of the surname Fagan, though specific widely known achievements or roles are not clearly established.
-
B.
Gale Halderman
Gale Halderman was an American automobile designer best known as the principal stylist behind the original Ford Mustang.
-
C.
Scott Speed
Scott Speed is an American racing driver best known for becoming the first American to compete in Formula One in over a decade during the mid-2000s.
-
D.
Andrew Yates
Andrew Yates is a relatively obscure individual whose name is notably associated with the surname Yates but who does not have widely recognized public prominence.
-
E.
Eric Ranft
Eric Ranft is an entrepreneur best known as a founder of the electronic signature and digital transaction management company DocuSign.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509f5ec348190875c8c877e70ba4a |
completed | April 7, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90e31350c8190a7493cdc33cc450a |
completed | April 10, 2026, 2:50 p.m. |
| NEDg | Description generation | batch_69d9107e8b94819086ebba1675a0db54 |
completed | April 10, 2026, 3 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d911a16b1481909197b00c30de48c4 |
completed | April 10, 2026, 3:05 p.m. |
Created at: April 6, 2026, 12:29 p.m.