Triple
T14294309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ian Beale |
E354397
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object |
David Wicks
David Wicks is a fictional character from the British soap opera "EastEnders," known for his complicated family relationships and turbulent personal life.
|
E1138399
|
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: David Wicks | Statement: [Ian Beale, sibling, David Wicks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Wicks Context triple: [Ian Beale, sibling, David Wicks]
-
A.
Don Woods
Don Woods is an American computer programmer best known for co-creating and expanding the pioneering text adventure game Colossal Cave Adventure.
-
B.
Guy Weadick
Guy Weadick was an American-born cowboy, promoter, and showman best known for creating the Calgary Stampede and helping popularize rodeo culture in Canada.
-
C.
John David Wicker
John David Wicker is a collegiate sports administrator best known for leading the athletic department at San Diego State University.
-
D.
Roy Watts
Roy Watts is an editor known for his work on the British television drama series "Kes."
-
E.
John Wilkie
John Wilkie was an 18th-century London publisher best known for issuing the first edition of Richard Brinsley Sheridan’s play "The School for Scandal."
- 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: David Wicks Triple: [Ian Beale, sibling, David Wicks]
Generated description
David Wicks is a fictional character from the British soap opera "EastEnders," known for his complicated family relationships and turbulent personal life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: David Wicks Target entity description: David Wicks is a fictional character from the British soap opera "EastEnders," known for his complicated family relationships and turbulent personal life.
-
A.
Don Woods
Don Woods is an American computer programmer best known for co-creating and expanding the pioneering text adventure game Colossal Cave Adventure.
-
B.
Guy Weadick
Guy Weadick was an American-born cowboy, promoter, and showman best known for creating the Calgary Stampede and helping popularize rodeo culture in Canada.
-
C.
John David Wicker
John David Wicker is a collegiate sports administrator best known for leading the athletic department at San Diego State University.
-
D.
Roy Watts
Roy Watts is an editor known for his work on the British television drama series "Kes."
-
E.
John Wilkie
John Wilkie was an 18th-century London publisher best known for issuing the first edition of Richard Brinsley Sheridan’s play "The School for Scandal."
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de717b35ec81908968994e65737c66 |
completed | April 14, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7cccd548190b9ec93f9d9d2f2af |
completed | May 9, 2026, 4:27 a.m. |
| NEDg | Description generation | batch_69feb971df248190bccc187517557373 |
completed | May 9, 2026, 4:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feb9faeb2c819098e8dd4e0cf223bc |
completed | May 9, 2026, 4:37 a.m. |
Created at: April 10, 2026, 1:11 a.m.