Triple
T7514774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Pocock |
E177610
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Pocock |
E177610
|
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: Pocock | Statement: [George Pocock, familyName, Pocock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pocock Context triple: [George Pocock, familyName, Pocock]
-
A.
Pocock
chosen
Pocock is an English surname historically associated with notable figures such as Royal Navy admiral Sir George Pocock.
-
B.
Seale
Seale is a surname most notably associated with Bobby Seale, co-founder of the Black Panther Party and prominent figure in the U.S. civil rights movement.
-
C.
Hawkes
Hawkes is the surname of Sylvia Ashley, a British model, actress, and socialite known for her high-profile marriages in the early 20th century.
-
D.
Alcock
Alcock is an English-language surname of British origin borne by various notable figures in fields such as aviation, politics, and the arts.
-
E.
Peto
Peto is a minor companion of Sir John Falstaff and Prince Hal in Shakespeare’s Henry IV plays, often depicted as a comic, roguish follower involved in their tavern escapades.
- 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_69c69f2891148190a484f3b8222c6f1b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5f44dd48190b2b093aab9a196c8 |
completed | March 27, 2026, 9:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8461d4dbc8190b921666fa3524921 |
completed | March 28, 2026, 9:20 p.m. |
Created at: March 27, 2026, 3:45 p.m.