Triple
T9794655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | It's a Good Life |
E237688
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object |
Bill Mosher
Bill Mosher is a film editor known for his work on the production "It's a Good Life."
|
E822277
|
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: Bill Mosher | Statement: [It's a Good Life, editor, Bill Mosher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bill Mosher Context triple: [It's a Good Life, editor, Bill Mosher]
-
A.
Hal Bidlack
Hal Bidlack is an American political science professor, retired U.S. Air Force officer, and public speaker known for his work in skepticism and secular humanism.
-
B.
Michael Shrieve
Michael Shrieve is an American drummer and percussionist best known for his work with Santana, including his iconic performance at Woodstock and contributions to their classic early albums.
-
C.
Max Borenstein
Max Borenstein is an American screenwriter and producer best known for his work on the modern Godzilla and MonsterVerse films.
-
D.
Phil Morrow
Phil Morrow is a television producer known for his work in developing and producing various entertainment and factual programs.
-
E.
Edward Knoblock
Edward Knoblock was an American-born British playwright and screenwriter best known for his successful stage works in the early 20th century, including the play "Kismet."
- 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: Bill Mosher Triple: [It's a Good Life, editor, Bill Mosher]
Generated description
Bill Mosher is a film editor known for his work on the production "It's a Good Life."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bill Mosher Target entity description: Bill Mosher is a film editor known for his work on the production "It's a Good Life."
-
A.
Hal Bidlack
Hal Bidlack is an American political science professor, retired U.S. Air Force officer, and public speaker known for his work in skepticism and secular humanism.
-
B.
Michael Shrieve
Michael Shrieve is an American drummer and percussionist best known for his work with Santana, including his iconic performance at Woodstock and contributions to their classic early albums.
-
C.
Max Borenstein
Max Borenstein is an American screenwriter and producer best known for his work on the modern Godzilla and MonsterVerse films.
-
D.
Phil Morrow
Phil Morrow is a television producer known for his work in developing and producing various entertainment and factual programs.
-
E.
Edward Knoblock
Edward Knoblock was an American-born British playwright and screenwriter best known for his successful stage works in the early 20th century, including the play "Kismet."
- 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_69ca84dc04488190b9c91193976c0960 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda347b6bc8190a99b7dec1650cd46 |
completed | April 1, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c43bccfc81909b940b180fe26626 |
completed | April 5, 2026, 2:09 a.m. |
| NEDg | Description generation | batch_69d1c5e6a2f881908666328ce72a95ed |
completed | April 5, 2026, 2:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1c68311008190b2d5b8a2fadfba69 |
completed | April 5, 2026, 2:18 a.m. |
Created at: March 30, 2026, 8:28 p.m.