Triple
T23415392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Born to Dance |
E560190
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Ted Barker
Ted Barker is a fictional character from the 1936 musical film "Born to Dance," portrayed as a charming Navy sailor and romantic lead.
|
E1589631
|
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: Ted Barker | Statement: [Born to Dance, featuresCharacter, Ted Barker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ted Barker Context triple: [Born to Dance, featuresCharacter, Ted Barker]
-
A.
Phil Barker
Phil Barker is a musician best known as a member of the influential British punk band Buzzcocks.
-
B.
Paul Barker
Paul Barker is a musician best known as the longtime bassist and producer for the industrial metal band Ministry.
-
C.
Steve Bickford
Steve Bickford is a computer scientist known for his work on formal methods and interactive theorem proving, particularly in connection with the Nuprl proof development system.
-
D.
Jim Ballard
Jim Ballard is a former American football quarterback best known for his record-setting collegiate career at the University of Mount Union and subsequent professional play in the CFL and other leagues.
-
E.
Bill Boals
Bill Boals is the husband of American character actress Margo Martindale.
- 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: Ted Barker Triple: [Born to Dance, featuresCharacter, Ted Barker]
Generated description
Ted Barker is a fictional character from the 1936 musical film "Born to Dance," portrayed as a charming Navy sailor and romantic lead.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ted Barker Target entity description: Ted Barker is a fictional character from the 1936 musical film "Born to Dance," portrayed as a charming Navy sailor and romantic lead.
-
A.
Phil Barker
Phil Barker is a musician best known as a member of the influential British punk band Buzzcocks.
-
B.
Paul Barker
Paul Barker is a musician best known as the longtime bassist and producer for the industrial metal band Ministry.
-
C.
Steve Bickford
Steve Bickford is a computer scientist known for his work on formal methods and interactive theorem proving, particularly in connection with the Nuprl proof development system.
-
D.
Jim Ballard
Jim Ballard is a former American football quarterback best known for his record-setting collegiate career at the University of Mount Union and subsequent professional play in the CFL and other leagues.
-
E.
Bill Boals
Bill Boals is the husband of American character actress Margo Martindale.
- 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_69e2454b3a5881909c64773dc8a5d289 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a514b1d08190bbde2c3714c996fd |
completed | April 29, 2026, 6:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c8243ada081908ff5312f06b3a465 |
completed | May 19, 2026, 3:31 p.m. |
| NEDg | Description generation | batch_6a0ca6eee2f48190b4e03039c4c96abe |
completed | May 19, 2026, 6:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ca819f6dc8190852bb3c06768ac5a |
completed | May 19, 2026, 6:12 p.m. |
Created at: April 17, 2026, 5:39 p.m.