Triple
T12829629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gary Lineker |
E306748
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Angus Lineker |
E1010382
|
NE FINISHED |
How this triple was built (2 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: Angus Lineker | Statement: [Gary Lineker, hasChild, Angus Lineker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angus Lineker Context triple: [Gary Lineker, hasChild, Angus Lineker]
-
A.
Harry Lineker
chosen
Harry Lineker is one of the sons of former English footballer and prominent sports broadcaster Gary Lineker.
-
B.
Douglas Shearer
Douglas Shearer was a pioneering Canadian-American sound engineer and special effects designer in Hollywood, renowned for his groundbreaking work at MGM and multiple Academy Awards.
-
C.
Gary Lineker
Gary Lineker is a former English footballer and prolific striker who became one of England’s most celebrated players and later a prominent sports broadcaster.
-
D.
Billy Sharp
Billy Sharp is an English professional footballer best known as a prolific striker, particularly for his goal-scoring exploits with Sheffield United.
-
E.
Bill Gartley
Bill Gartley is the ruthless and sadistic owner of a laundry factory in the horror film "The Mangler," where a possessed industrial machine terrorizes workers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96faf9ae481908265e198f917d1e6 |
completed | April 10, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8c962f08190af7dee663a1d2319 |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 9, 2026, 5:34 p.m.