Triple
T19546076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Fadden |
E489052
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object |
Thomas Fadden
Thomas Fadden was an American character actor known for his numerous supporting roles in classic films and television from the 1930s through the 1960s.
|
E1383980
|
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 Fadden | Statement: [Tom Fadden, birthName, Thomas Fadden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Fadden Context triple: [Tom Fadden, birthName, Thomas Fadden]
-
A.
Brian Fawcett
Brian Fawcett was the son of British explorer Percy Fawcett, known mainly for his connection to his father's legendary Amazon expeditions and disappearance.
-
B.
Joe Faraci
Joe Faraci is a composer and musician known for creating the musical score for the film "Monkey Man."
-
C.
Daniel Sullivan
Daniel Sullivan is an acclaimed American theatre director known for his work on numerous Broadway and Off-Broadway productions, including several Tony Award–winning plays.
-
D.
Patrick Donahue
Patrick Donahue is a film editor known for his work on the 1987 comedy film "Happy New Year."
-
E.
John Farris
John Farris is an American novelist and screenwriter best known for his horror and suspense fiction, including the novel that inspired Brian De Palma’s film "The Fury."
- 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 Fadden Triple: [Tom Fadden, birthName, Thomas Fadden]
Generated description
Thomas Fadden was an American character actor known for his numerous supporting roles in classic films and television from the 1930s through the 1960s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thomas Fadden Target entity description: Thomas Fadden was an American character actor known for his numerous supporting roles in classic films and television from the 1930s through the 1960s.
-
A.
Brian Fawcett
Brian Fawcett was the son of British explorer Percy Fawcett, known mainly for his connection to his father's legendary Amazon expeditions and disappearance.
-
B.
Joe Faraci
Joe Faraci is a composer and musician known for creating the musical score for the film "Monkey Man."
-
C.
Daniel Sullivan
Daniel Sullivan is an acclaimed American theatre director known for his work on numerous Broadway and Off-Broadway productions, including several Tony Award–winning plays.
-
D.
Patrick Donahue
Patrick Donahue is a film editor known for his work on the 1987 comedy film "Happy New Year."
-
E.
John Farris
John Farris is an American novelist and screenwriter best known for his horror and suspense fiction, including the novel that inspired Brian De Palma’s film "The Fury."
- 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63876bacc8190b17e2087de679785 |
completed | April 20, 2026, 2:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07577880048190bb182c9fe3856254 |
completed | May 15, 2026, 5:27 p.m. |
| NEDg | Description generation | batch_6a07583fc26481908bd2f00c19f3b4cd |
completed | May 15, 2026, 5:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07594a23ac81908807df4605555d3f |
completed | May 15, 2026, 5:35 p.m. |
Created at: April 10, 2026, 1:41 p.m.