Triple
T7600175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murray Walker |
E179961
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object | Graham Walker |
E676225
|
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: Graham Walker | Statement: [Murray Walker, parent, Graham Walker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Graham Walker Context triple: [Murray Walker, parent, Graham Walker]
-
A.
Graham Rogers
Graham Rogers is an American actor known for his roles in television series such as "The Kominsky Method," "Quantico," and "Atypical."
-
B.
Graeme Murray Walker
chosen
Graeme Murray Walker was a renowned British motorsport commentator best known for his excitable Formula One broadcasts and distinctive, enthusiastic commentary style.
-
C.
Graham Simpson
Graham Simpson was an English bassist best known as a founding member of the art rock band Roxy Music.
-
D.
Graham Walters
Graham Walters is a film producer best known for his work on the acclaimed Pixar animated feature "Finding Nemo."
-
E.
Graham Wisner
Graham Wisner is a member of the Wisner family, related to prominent U.S. diplomat and intelligence official Frank Wisner.
- 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_69c69f3487ec8190bf7acdf2dd91e6d6 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9d7cb288190b40ff5c9a09297d9 |
completed | March 27, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c870858c648190acbbad9b5bb12ba4 |
completed | March 29, 2026, 12:21 a.m. |
Created at: March 27, 2026, 3:53 p.m.