Triple
T13537527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Devious Maids |
E323299
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
David Lonner
David Lonner is a television and film producer and entertainment executive best known for his work on series such as "Devious Maids."
|
E1061549
|
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: David Lonner | Statement: [Devious Maids, executiveProducer, David Lonner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Lonner Context triple: [Devious Maids, executiveProducer, David Lonner]
-
A.
David Nolan
David Nolan is a relatively common personal name shared by multiple individuals, including politicians, athletes, and fictional characters.
-
B.
Christopher Lennertz
Christopher Lennertz is an American composer best known for his film, television, and video game scores, including work on major comedies, action films, and popular series like Supernatural.
-
C.
Steven Larner
Steven Larner is a cinematographer best known for his work on Terrence Malick’s film "Badlands."
-
D.
Christian Lonk
Christian Lonk is a film editor known for his work on the romantic comedy "Chalet Girl."
-
E.
Michael Nelson
Michael Nelson is a musician best known for his work as a member of Prince’s backing band, The New Power Generation.
- 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: David Lonner Triple: [Devious Maids, executiveProducer, David Lonner]
Generated description
David Lonner is a television and film producer and entertainment executive best known for his work on series such as "Devious Maids."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: David Lonner Target entity description: David Lonner is a television and film producer and entertainment executive best known for his work on series such as "Devious Maids."
-
A.
David Nolan
David Nolan is a relatively common personal name shared by multiple individuals, including politicians, athletes, and fictional characters.
-
B.
Christopher Lennertz
Christopher Lennertz is an American composer best known for his film, television, and video game scores, including work on major comedies, action films, and popular series like Supernatural.
-
C.
Steven Larner
Steven Larner is a cinematographer best known for his work on Terrence Malick’s film "Badlands."
-
D.
Christian Lonk
Christian Lonk is a film editor known for his work on the romantic comedy "Chalet Girl."
-
E.
Michael Nelson
Michael Nelson is a musician best known for his work as a member of Prince’s backing band, The New Power Generation.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafbe39948190808062d4eff91841 |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b05c844c8190bb4b72d2400a6355 |
completed | May 3, 2026, 8:30 p.m. |
| NEDg | Description generation | batch_69f7b138158c8190957d43d529c37fa4 |
completed | May 3, 2026, 8:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7b1e0ab948190a046a68aa5e029a6 |
completed | May 3, 2026, 8:36 p.m. |
Created at: April 9, 2026, 9:45 p.m.