Triple
T23337680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geoffrey Chew |
E591641
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Geoffrey |
—
|
NE NERFINISHED |
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: [Geoffrey Chew, givenName, Geoffrey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geoffrey Context triple: [Geoffrey Chew, 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
Geoffrey was a medieval English prince, one of the sons of King Henry II of England and Eleanor of Aquitaine.
-
C.
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.
-
D.
Geoffrey the Bearded
Geoffrey the Bearded was Geoffrey III, Count of Anjou in the 11th century, known for his troubled rule and conflicts with neighboring powers in medieval France.
-
E.
Leodore Lionheart
Leodore Lionheart is the lion mayor of Zootopia in Disney's animated film "Zootopia," known for his charismatic leadership and involvement in the city's predator-prey tensions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d20156c81908c5c53195bd9c738 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1982f8574819090f8b0ba249237a3 |
completed | April 29, 2026, 5:33 a.m. |
Created at: April 17, 2026, 5:17 p.m.