Triple
T12318651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saw IV |
E293670
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Thomas Fenton
Thomas Fenton is a screenwriter best known for his work on the horror film franchise Saw, particularly contributing to the script of Saw IV.
|
E989339
|
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: Thomas Fenton | Statement: [Saw IV, writer, Thomas Fenton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Fenton Context triple: [Saw IV, writer, Thomas Fenton]
-
A.
Frank Worthington
Frank Worthington was an English professional footballer best known as a flamboyant forward who played for clubs such as Leicester City and Bolton Wanderers during the 1970s and 1980s.
-
B.
Frank Fenton
Frank Fenton was an American character actor active in mid-20th-century film and television, often appearing in crime dramas and Westerns.
-
C.
Robin Neville Farrington
Robin Neville Farrington was the husband of Suzanne Farrington, the only child of actress Vivien Leigh.
-
D.
Frank Richards
Frank Richards was a British soldier and memoirist best known for his vivid first-hand accounts of World War I service in the Royal Welch Fusiliers.
-
E.
Thomas Nelstrop
Thomas Nelstrop is a British actor and comedian known for his television work and appearances in UK comedy and drama series.
- 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: Thomas Fenton Triple: [Saw IV, writer, Thomas Fenton]
Generated description
Thomas Fenton is a screenwriter best known for his work on the horror film franchise Saw, particularly contributing to the script of Saw IV.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thomas Fenton Target entity description: Thomas Fenton is a screenwriter best known for his work on the horror film franchise Saw, particularly contributing to the script of Saw IV.
-
A.
Frank Worthington
Frank Worthington was an English professional footballer best known as a flamboyant forward who played for clubs such as Leicester City and Bolton Wanderers during the 1970s and 1980s.
-
B.
Frank Fenton
Frank Fenton was an American character actor active in mid-20th-century film and television, often appearing in crime dramas and Westerns.
-
C.
Robin Neville Farrington
Robin Neville Farrington was the husband of Suzanne Farrington, the only child of actress Vivien Leigh.
-
D.
Frank Richards
Frank Richards was a British soldier and memoirist best known for his vivid first-hand accounts of World War I service in the Royal Welch Fusiliers.
-
E.
Thomas Nelstrop
Thomas Nelstrop is a British actor and comedian known for his television work and appearances in UK comedy and drama series.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f4ab1b88190979a8403a430a17c |
completed | April 10, 2026, 6:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6555e525c8190aa72da362fae1e3e |
completed | May 2, 2026, 7:49 p.m. |
| NEDg | Description generation | batch_69f6566dccc0819085e059c7b0288f6c |
completed | May 2, 2026, 7:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f657b1b13c8190984300f24c0b2083 |
completed | May 2, 2026, 7:59 p.m. |
Created at: April 8, 2026, 9:53 p.m.