Triple
T13773944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iron Will |
E330951
|
entity |
| Predicate | cinematography |
P1953
|
FINISHED |
| Object |
William Wages
William Wages is an American cinematographer known for his work on films such as "Iron Will" and for his distinctive visual storytelling style.
|
E1059970
|
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: William Wages | Statement: [Iron Will, cinematography, William Wages]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William Wages Context triple: [Iron Will, cinematography, William Wages]
-
A.
William Brazel
William Brazel was the New Mexico rancher whose discovery of mysterious debris on his property in 1947 sparked what became known as the Roswell UFO incident.
-
B.
William Lochren
William Lochren was a 19th-century American jurist who served as a United States federal judge.
-
C.
Samuel Shellabarger
Samuel Shellabarger was an American novelist and historian best known for his popular mid-20th-century historical adventure novels.
-
D.
Wilford Leach
Wilford Leach was an American theater director and educator known for his innovative work in musical and avant-garde theater, including multiple Tony Award–winning productions.
-
E.
Warren Wells
Warren Wells was an American professional football wide receiver best known for his standout seasons with the Oakland Raiders in the late 1960s.
- 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: William Wages Triple: [Iron Will, cinematography, William Wages]
Generated description
William Wages is an American cinematographer known for his work on films such as "Iron Will" and for his distinctive visual storytelling style.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: William Wages Target entity description: William Wages is an American cinematographer known for his work on films such as "Iron Will" and for his distinctive visual storytelling style.
-
A.
William Brazel
William Brazel was the New Mexico rancher whose discovery of mysterious debris on his property in 1947 sparked what became known as the Roswell UFO incident.
-
B.
William Lochren
William Lochren was a 19th-century American jurist who served as a United States federal judge.
-
C.
Samuel Shellabarger
Samuel Shellabarger was an American novelist and historian best known for his popular mid-20th-century historical adventure novels.
-
D.
Wilford Leach
Wilford Leach was an American theater director and educator known for his innovative work in musical and avant-garde theater, including multiple Tony Award–winning productions.
-
E.
Warren Wells
Warren Wells was an American professional football wide receiver best known for his standout seasons with the Oakland Raiders in the late 1960s.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de023774b48190b19e43e87b94ba77 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a86afd788190ab637044dd489a24 |
completed | May 3, 2026, 7:56 p.m. |
| NEDg | Description generation | batch_69f7a9f5549c81908a1a0b080acc3396 |
completed | May 3, 2026, 8:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7aafceea881908737a3d7613db2d5 |
completed | May 3, 2026, 8:07 p.m. |
Created at: April 9, 2026, 10:10 p.m.