Triple
T7600145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murray Walker |
E179961
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Graeme |
E483686
|
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: Graeme | Statement: [Murray Walker, givenName, Graeme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Graeme Context triple: [Murray Walker, givenName, Graeme]
-
A.
Graeme
chosen
Graeme is a masculine given name of Scottish origin, commonly used in English-speaking countries.
-
B.
Gavin
Gavin is a masculine given name of Celtic origin, commonly used in English-speaking countries.
-
C.
Gareth
Gareth is a masculine given name of Welsh origin, commonly used in English-speaking countries.
-
D.
Colin
Colin is a masculine given name of Irish and Scottish origin, commonly used in English-speaking countries.
-
E.
Jaki Graham
Jaki Graham is a British R&B and soul singer best known for her 1980s hits and powerful vocal performances, including successful covers of classic songs.
- 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_69c861ad08bc8190b3fc22109579a47d |
completed | March 28, 2026, 11:18 p.m. |
Created at: March 27, 2026, 3:53 p.m.