Triple
T3736550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hodgkin family |
E79599
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Toby Hodgkin |
E79599
|
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: Toby Hodgkin | Statement: [Hodgkin family, hasMember, Toby Hodgkin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toby Hodgkin Context triple: [Hodgkin family, hasMember, Toby Hodgkin]
-
A.
Toby Hodgkin
chosen
Toby Hodgkin is the son of Nobel Prize–winning chemist Dorothy Hodgkin and a member of the prominent Hodgkin family noted for its contributions to science and public life.
-
B.
Toby Barker
Toby Barker is an American politician who serves as the mayor of Hattiesburg, Mississippi.
-
C.
Toby Rowland
Toby Rowland is a tech entrepreneur best known as a co-founder of the mobile gaming company behind the hit game Candy Crush Saga.
-
D.
Toby Stephens
Toby Stephens is a British actor known for his versatile film, television, and stage roles, including performances in productions such as the James Bond film "Die Another Day" and the TV series "Black Sails."
-
E.
Martin Jarmond
Martin Jarmond is an American college athletics administrator best known as the athletic director at UCLA and former AD at Boston College.
- 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_69ad8b115610819095b02007da5ca3cb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb3d32b081909a993a78b0869db8 |
completed | March 8, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e4f857208190a51b264a5affca3d |
completed | March 14, 2026, 4:32 a.m. |
Created at: March 8, 2026, 3:34 p.m.