Triple
T21440799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | God & Guns |
E528933
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Evan Haiman
Evan Haiman is a film and television producer known for his work on projects such as the series "God & Guns."
|
E1484516
|
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: Evan Haiman | Statement: [God & Guns, producer, Evan Haiman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Evan Haiman Context triple: [God & Guns, producer, Evan Haiman]
-
A.
Evan Lottman
Evan Lottman was an American film editor known for his work on notable films of the 1970s and 1980s.
-
B.
Evan Taubenfeld
Evan Taubenfeld is an American musician, songwriter, and producer best known for his work with Avril Lavigne and contributions to early 2000s pop-punk music.
-
C.
Evan Schiff
Evan Schiff is a film editor known for his work on high-profile action movies, including entries in the John Wick franchise.
-
D.
Shawn Eichman
Shawn Eichman is an American political activist best known as a defendant in the landmark U.S. Supreme Court case that struck down federal prohibitions on flag desecration as unconstitutional.
-
E.
Ben Hyman
Ben Hyman is the son of singer and actress Yvonne Elliman, known for her role in "Jesus Christ Superstar" and the hit song "If I Can't Have You."
- 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: Evan Haiman Triple: [God & Guns, producer, Evan Haiman]
Generated description
Evan Haiman is a film and television producer known for his work on projects such as the series "God & Guns."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Evan Haiman Target entity description: Evan Haiman is a film and television producer known for his work on projects such as the series "God & Guns."
-
A.
Evan Lottman
Evan Lottman was an American film editor known for his work on notable films of the 1970s and 1980s.
-
B.
Evan Taubenfeld
Evan Taubenfeld is an American musician, songwriter, and producer best known for his work with Avril Lavigne and contributions to early 2000s pop-punk music.
-
C.
Evan Schiff
Evan Schiff is a film editor known for his work on high-profile action movies, including entries in the John Wick franchise.
-
D.
Shawn Eichman
Shawn Eichman is an American political activist best known as a defendant in the landmark U.S. Supreme Court case that struck down federal prohibitions on flag desecration as unconstitutional.
-
E.
Ben Hyman
Ben Hyman is the son of singer and actress Yvonne Elliman, known for her role in "Jesus Christ Superstar" and the hit song "If I Can't Have You."
- 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_69e0c4569fa081908101baa24f8745db |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b70101208190a77bf5dd53dce37a |
completed | April 22, 2026, 11:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09c90127ec8190a82c20c4168ad7c3 |
completed | May 17, 2026, 1:56 p.m. |
| NEDg | Description generation | batch_6a09c99200a88190ad13565044dfcac0 |
completed | May 17, 2026, 1:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09ca3c4ec48190829b1bd83b933f53 |
completed | May 17, 2026, 2:01 p.m. |
Created at: April 16, 2026, 6:05 p.m.