Triple
T7497543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wings |
E177171
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Roy Biggins
Roy Biggins is a scheming, boorish rival airline owner and recurring antagonist on the sitcom "Wings."
|
E678986
|
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: Roy Biggins | Statement: [Wings, hasCharacter, Roy Biggins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roy Biggins Context triple: [Wings, hasCharacter, Roy Biggins]
-
A.
Roy Budd
Roy Budd was a British jazz pianist and film composer best known for his iconic scores to movies such as "Get Carter" and other 1970s and 1980s thrillers.
-
B.
Stanley Savige
Stanley Savige was an Australian Army lieutenant general and World War II corps commander noted for his leadership in the Pacific theatre and his earlier service at Gallipoli and on the Western Front in World War I.
-
C.
John Bragg
John Bragg was a prominent 19th-century figure from Mobile, Alabama, for whom the historic Bragg-Mitchell Mansion is named.
-
D.
Richard Bristow
Richard Bristow was a 16th-century English Catholic scholar and theologian who contributed to the development and annotation of the Douay–Rheims Bible.
-
E.
James Burrows
James Burrows is an American television director and producer best known for his influential work on classic sitcoms such as "Cheers," "Taxi," and "Will & Grace."
- 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: Roy Biggins Triple: [Wings, hasCharacter, Roy Biggins]
Generated description
Roy Biggins is a scheming, boorish rival airline owner and recurring antagonist on the sitcom "Wings."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roy Biggins Target entity description: Roy Biggins is a scheming, boorish rival airline owner and recurring antagonist on the sitcom "Wings."
-
A.
Roy Budd
Roy Budd was a British jazz pianist and film composer best known for his iconic scores to movies such as "Get Carter" and other 1970s and 1980s thrillers.
-
B.
Stanley Savige
Stanley Savige was an Australian Army lieutenant general and World War II corps commander noted for his leadership in the Pacific theatre and his earlier service at Gallipoli and on the Western Front in World War I.
-
C.
John Bragg
John Bragg was a prominent 19th-century figure from Mobile, Alabama, for whom the historic Bragg-Mitchell Mansion is named.
-
D.
Richard Bristow
Richard Bristow was a 16th-century English Catholic scholar and theologian who contributed to the development and annotation of the Douay–Rheims Bible.
-
E.
James Burrows
James Burrows is an American television director and producer best known for his influential work on classic sitcoms such as "Cheers," "Taxi," and "Will & Grace."
- 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_69c69f2583808190bd1a4936c42a5815 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5963d98819098275b161848d2d4 |
completed | March 27, 2026, 9:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c89a7aada08190b241c078871dc864 |
completed | March 29, 2026, 3:20 a.m. |
| NEDg | Description generation | batch_69c89b9d22e88190b08543c975ce7898 |
completed | March 29, 2026, 3:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c89c2e62848190a5339707ba401772 |
completed | March 29, 2026, 3:27 a.m. |
Created at: March 27, 2026, 3:44 p.m.