Triple
T18335911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dorian Yates |
E439268
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Lewis Yates
Lewis Yates is known as the son of legendary British bodybuilder and six-time Mr. Olympia champion Dorian Yates.
|
E1320656
|
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: Lewis Yates | Statement: [Dorian Yates, hasChild, Lewis Yates]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lewis Yates Context triple: [Dorian Yates, hasChild, Lewis Yates]
-
A.
Michael Yates
Michael Yates is a fictional UNIT officer from the long-running British science fiction television series Doctor Who.
-
B.
Julian Yates
Julian Yates is a scholar and academic known for his work in literary and cultural studies.
-
C.
Lewis Jones
Lewis Jones was a prominent 19th-century Welsh settler and leader of the Welsh colony in Patagonia, Argentina.
-
D.
Lewis Dodd
Lewis Dodd is a gifted but emotionally conflicted composer who serves as the central male figure entangled in the complex romantic and familial relationships of Margaret Kennedy’s novel "The Constant Nymph."
-
E.
Leo Barnes
Leo Barnes is a former police sergeant turned security chief who becomes a key resistance figure fighting to end the annual Purge in the dystopian horror-thriller film series.
- 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: Lewis Yates Triple: [Dorian Yates, hasChild, Lewis Yates]
Generated description
Lewis Yates is known as the son of legendary British bodybuilder and six-time Mr. Olympia champion Dorian Yates.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lewis Yates Target entity description: Lewis Yates is known as the son of legendary British bodybuilder and six-time Mr. Olympia champion Dorian Yates.
-
A.
Michael Yates
Michael Yates is a fictional UNIT officer from the long-running British science fiction television series Doctor Who.
-
B.
Julian Yates
Julian Yates is a scholar and academic known for his work in literary and cultural studies.
-
C.
Lewis Jones
Lewis Jones was a prominent 19th-century Welsh settler and leader of the Welsh colony in Patagonia, Argentina.
-
D.
Lewis Dodd
Lewis Dodd is a gifted but emotionally conflicted composer who serves as the central male figure entangled in the complex romantic and familial relationships of Margaret Kennedy’s novel "The Constant Nymph."
-
E.
Leo Barnes
Leo Barnes is a former police sergeant turned security chief who becomes a key resistance figure fighting to end the annual Purge in the dystopian horror-thriller film series.
- 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50ecd759481909703ed2d0d68199f |
completed | April 19, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03d76c542881909d2592c2b4646ad5 |
completed | May 13, 2026, 1:44 a.m. |
| NEDg | Description generation | batch_6a03d80cbd708190b9b54ff85c5ec66c |
completed | May 13, 2026, 1:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03d8a25460819090f1ffa15f05a716 |
completed | May 13, 2026, 1:49 a.m. |
Created at: April 10, 2026, 10:37 a.m.