Triple
T20398179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Ticket to Tomahawk |
E500261
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Terence Sweeny
Terence Sweeny is a fictional character appearing in the 1950 Western comedy film "A Ticket to Tomahawk."
|
E1427699
|
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: Terence Sweeny | Statement: [A Ticket to Tomahawk, hasCharacter, Terence Sweeny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terence Sweeny Context triple: [A Ticket to Tomahawk, hasCharacter, Terence Sweeny]
-
A.
Joe Sweeney
Joe Sweeney is a relatively common personal name shared by multiple individuals across fields such as politics, sports, and the arts.
-
B.
Noel Purcell
Noel Purcell was an Irish character actor known for his distinctive beard and memorable supporting roles in mid-20th-century British and American films.
-
C.
Patrick Hennessy
Patrick Hennessy is a notable Irish painter recognized for his highly realistic and often introspective figurative and still-life works.
-
D.
Murray Flanagan
Murray Flanagan was the husband of Hallie Flanagan, the influential American theater director and head of the Federal Theatre Project.
-
E.
John Twomey
John Twomey is a musician best known for his past role as a member of the American folk-rock band The Avett Brothers.
- 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: Terence Sweeny Triple: [A Ticket to Tomahawk, hasCharacter, Terence Sweeny]
Generated description
Terence Sweeny is a fictional character appearing in the 1950 Western comedy film "A Ticket to Tomahawk."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Terence Sweeny Target entity description: Terence Sweeny is a fictional character appearing in the 1950 Western comedy film "A Ticket to Tomahawk."
-
A.
Joe Sweeney
Joe Sweeney is a relatively common personal name shared by multiple individuals across fields such as politics, sports, and the arts.
-
B.
Noel Purcell
Noel Purcell was an Irish character actor known for his distinctive beard and memorable supporting roles in mid-20th-century British and American films.
-
C.
Patrick Hennessy
Patrick Hennessy is a notable Irish painter recognized for his highly realistic and often introspective figurative and still-life works.
-
D.
Murray Flanagan
Murray Flanagan was the husband of Hallie Flanagan, the influential American theater director and head of the Federal Theatre Project.
-
E.
John Twomey
John Twomey is a musician best known for his past role as a member of the American folk-rock band The Avett Brothers.
- 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_69e0b4a81bec8190b69adfdc1336a015 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6798c2b28819092fab93f01218cde |
completed | April 20, 2026, 7:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a087629f618819086c4747990ceb22f |
completed | May 16, 2026, 1:50 p.m. |
| NEDg | Description generation | batch_6a0876cc45b88190a7179ca4d518f899 |
completed | May 16, 2026, 1:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0877355bc08190909694d1bb0c3e67 |
completed | May 16, 2026, 1:55 p.m. |
Created at: April 16, 2026, 11:29 a.m.