Triple
T14520103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pale Rider |
E340627
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Michael Butler
Michael Butler is a screenwriter best known for co-writing the 1985 Clint Eastwood Western film "Pale Rider."
|
E1111809
|
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: Michael Butler | Statement: [Pale Rider, screenwriter, Michael Butler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Butler Context triple: [Pale Rider, screenwriter, Michael Butler]
-
A.
Michael Butler
Michael Butler was an American theatrical producer best known for bringing the countercultural musical "Hair" to Broadway and later producing its 1979 film adaptation.
-
B.
Michael Butler
Michael Butler was a film cinematographer best known for his work on the 1976 Western drama "The Missouri Breaks."
-
C.
Peter Butler
Peter Butler is an English football manager and former player known for coaching various national and club teams, including the Liberia national football team.
-
D.
Hugh Butler
Hugh Butler was a screenwriter known for his work on the mid-20th-century British film "Journey into Light."
-
E.
Reg Butler
Reg Butler was a British sculptor known for his expressive, often skeletal metal figures and his prominence in postwar European modernist sculpture.
- 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: Michael Butler Triple: [Pale Rider, screenwriter, Michael Butler]
Generated description
Michael Butler is a screenwriter best known for co-writing the 1985 Clint Eastwood Western film "Pale Rider."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Butler Target entity description: Michael Butler is a screenwriter best known for co-writing the 1985 Clint Eastwood Western film "Pale Rider."
-
A.
Michael Butler
Michael Butler was an American theatrical producer best known for bringing the countercultural musical "Hair" to Broadway and later producing its 1979 film adaptation.
-
B.
Michael Butler
Michael Butler was a film cinematographer best known for his work on the 1976 Western drama "The Missouri Breaks."
-
C.
Peter Butler
Peter Butler is an English football manager and former player known for coaching various national and club teams, including the Liberia national football team.
-
D.
Hugh Butler
Hugh Butler was a screenwriter known for his work on the mid-20th-century British film "Journey into Light."
-
E.
Reg Butler
Reg Butler was a British sculptor known for his expressive, often skeletal metal figures and his prominence in postwar European modernist sculpture.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de9a70b15c81908773633e989ef704 |
completed | April 14, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5c1bf988190b1265c3db9a6b590 |
completed | May 8, 2026, 12:23 p.m. |
| NEDg | Description generation | batch_69fdd64755c48190bc8d955f96d4f28f |
completed | May 8, 2026, 12:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdd6a6111081909e40c55d696be55c |
completed | May 8, 2026, 12:27 p.m. |
Created at: April 10, 2026, 1:22 a.m.