Triple
T1563344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir George Pocock |
E33376
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Pocock
Pocock is an English surname historically associated with notable figures such as Royal Navy admiral Sir George Pocock.
|
E177610
|
NE FINISHED |
How this triple was built (4 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: [Sir George Pocock, familyName, Pocock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pocock Context triple: [Sir George Pocock, familyName, Pocock]
-
A.
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.
-
B.
Pritchard
Pritchard is the middle name of Alfred P. Sloan, the influential long-time president and chairman of General Motors.
-
C.
Porter
Porter is a transit station in Cambridge, Massachusetts that serves both MBTA commuter rail and Red Line subway services.
-
D.
Pugh
Pugh is a surname most prominently associated with English actress Florence Pugh, known for her acclaimed performances in films such as "Midsommar" and "Little Women."
-
E.
Bassett
Bassett is the surname of acclaimed American actress and director Angela Bassett, known for her powerful performances in film and television.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Pocock Triple: [Sir George Pocock, familyName, Pocock]
Generated description
Pocock is an English surname historically associated with notable figures such as Royal Navy admiral Sir George Pocock.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pocock Target entity description: Pocock is an English surname historically associated with notable figures such as Royal Navy admiral Sir George Pocock.
-
A.
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.
-
B.
Pritchard
Pritchard is the middle name of Alfred P. Sloan, the influential long-time president and chairman of General Motors.
-
C.
Porter
Porter is a transit station in Cambridge, Massachusetts that serves both MBTA commuter rail and Red Line subway services.
-
D.
Pugh
Pugh is a surname most prominently associated with English actress Florence Pugh, known for her acclaimed performances in films such as "Midsommar" and "Little Women."
-
E.
Bassett
Bassett is the surname of acclaimed American actress and director Angela Bassett, known for her powerful performances in film and television.
- F. None of above. chosen
Provenance (5 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_69a885ef9cf48190b0af0f5ce3d02231 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9089c7b9881909e44fee8053ac189 |
completed | March 5, 2026, 4:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad3717a9a08190b3d997bb7bc6e14f |
completed | March 8, 2026, 8:45 a.m. |
| NEDg | Description generation | batch_69ad37e306948190bbaa14829ce094e6 |
completed | March 8, 2026, 8:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad38d106348190835d753c6cffcc48 |
completed | March 8, 2026, 8:52 a.m. |
Created at: March 4, 2026, 7:27 p.m.