Triple
T7051648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | G. I. Taylor |
E163980
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Geoffrey |
E28362
|
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: Geoffrey | Statement: [G. I. Taylor, givenName, Geoffrey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geoffrey Context triple: [G. I. Taylor, givenName, Geoffrey]
-
A.
Geoffrey
chosen
Geoffrey is a masculine given name of English origin, famously borne by pioneering computer scientist and AI researcher Geoffrey Hinton.
-
B.
Geoffrey the Handsome
Geoffrey the Handsome was a 12th-century Count of Anjou and Duke of Normandy, notable as the husband of Empress Matilda and the father of King Henry II of England, founding the Plantagenet dynasty.
-
C.
Ranulph
Ranulph is the given name of Sir Ranulph Fiennes, the renowned British explorer and adventurer known for his polar expeditions and endurance feats.
-
D.
Godfrey
Godfrey is the given name of the influential British mathematician G. H. Hardy, renowned for his work in number theory and mathematical analysis.
-
E.
Godfrey
Godfrey is an American comedian and actor known for his stand-up work and film roles, including a prominent appearance in the comedy movie "Soul Plane."
- 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_69c68861678881909961ddf4d779f750 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e2500570819087200013d859cfe6 |
completed | March 27, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c78891bc5081909db384a35b45df4a |
completed | March 28, 2026, 7:51 a.m. |
Created at: March 27, 2026, 2:37 p.m.