Triple
T16324202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nigel Lythgoe |
E396371
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Simon Lythgoe
Simon Lythgoe is a British television producer and director known for his work on reality and talent competition shows.
|
E1210900
|
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: Simon Lythgoe | Statement: [Nigel Lythgoe, hasChild, Simon Lythgoe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simon Lythgoe Context triple: [Nigel Lythgoe, hasChild, Simon Lythgoe]
-
A.
Glyn Jessop
Glyn Jessop is a former English cricketer who played at the first-class level.
-
B.
Glyn Williams
Glyn Williams is a British sculptor known for creating prominent public monuments, including the statue of David Lloyd George in Parliament Square, London.
-
C.
Glyn Simon
Glyn Simon was a Welsh Anglican bishop who served as Archbishop of Wales in the mid-20th century.
-
D.
Gil Noble
Gil Noble was an influential American television journalist and longtime host of the public affairs program "Like It Is," known for his in-depth coverage of African American history, culture, and politics.
-
E.
Glyn Harman
Glyn Harman is a British mathematician known for his contributions to analytic number theory, particularly in the study of prime numbers and Diophantine approximation.
- 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: Simon Lythgoe Triple: [Nigel Lythgoe, hasChild, Simon Lythgoe]
Generated description
Simon Lythgoe is a British television producer and director known for his work on reality and talent competition shows.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Simon Lythgoe Target entity description: Simon Lythgoe is a British television producer and director known for his work on reality and talent competition shows.
-
A.
Glyn Jessop
Glyn Jessop is a former English cricketer who played at the first-class level.
-
B.
Glyn Williams
Glyn Williams is a British sculptor known for creating prominent public monuments, including the statue of David Lloyd George in Parliament Square, London.
-
C.
Glyn Simon
Glyn Simon was a Welsh Anglican bishop who served as Archbishop of Wales in the mid-20th century.
-
D.
Gil Noble
Gil Noble was an influential American television journalist and longtime host of the public affairs program "Like It Is," known for his in-depth coverage of African American history, culture, and politics.
-
E.
Glyn Harman
Glyn Harman is a British mathematician known for his contributions to analytic number theory, particularly in the study of prime numbers and Diophantine approximation.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b8fe988190adee72b23246052f |
completed | April 17, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0035537d188190a88753d58939faf4 |
completed | May 10, 2026, 7:35 a.m. |
| NEDg | Description generation | batch_6a0036e07d2081908db03dcc133f8421 |
completed | May 10, 2026, 7:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00384f51d081909a5ab0630f82d173 |
completed | May 10, 2026, 7:48 a.m. |
Created at: April 10, 2026, 5:06 a.m.