Triple
T22630310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cottrell |
E558529
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
John Cottrell
John Cottrell is a personal name shared by multiple individuals, including professionals and public figures in various fields.
|
E1561615
|
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: John Cottrell | Statement: [Cottrell, hasNotableBearer, John Cottrell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Cottrell Context triple: [Cottrell, hasNotableBearer, John Cottrell]
-
A.
Bill Cottrell
Bill Cottrell was an American screenwriter and story artist best known for his work on early Walt Disney animated films.
-
B.
Alan Cottrell
Alan Cottrell was a prominent British metallurgist and materials scientist renowned for his pioneering work on the mechanical properties of metals and their defects.
-
C.
Richard Bristow
Richard Bristow was a 16th-century English Catholic scholar and theologian who contributed to the development and annotation of the Douay–Rheims Bible.
-
D.
Richard Hiscott
Richard Hiscott is an editor known for his work on the television series "Willow."
-
E.
Paul Broughton
Paul Broughton is an actor best known for his role in the British television drama series "The Lakes."
- 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: John Cottrell Triple: [Cottrell, hasNotableBearer, John Cottrell]
Generated description
John Cottrell is a personal name shared by multiple individuals, including professionals and public figures in various fields.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Cottrell Target entity description: John Cottrell is a personal name shared by multiple individuals, including professionals and public figures in various fields.
-
A.
Bill Cottrell
Bill Cottrell was an American screenwriter and story artist best known for his work on early Walt Disney animated films.
-
B.
Alan Cottrell
Alan Cottrell was a prominent British metallurgist and materials scientist renowned for his pioneering work on the mechanical properties of metals and their defects.
-
C.
Richard Bristow
Richard Bristow was a 16th-century English Catholic scholar and theologian who contributed to the development and annotation of the Douay–Rheims Bible.
-
D.
Richard Hiscott
Richard Hiscott is an editor known for his work on the television series "Willow."
-
E.
Paul Broughton
Paul Broughton is an actor best known for his role in the British television drama series "The Lakes."
- 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_69e245467d9881908d6985bd0db7a1f1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17008e7648190b243c18067b4efb9 |
completed | April 29, 2026, 2:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bc22dae94819098ac2c830e948841 |
completed | May 19, 2026, 1:51 a.m. |
| NEDg | Description generation | batch_6a0bc30a16408190ba27d804c7a4933e |
completed | May 19, 2026, 1:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bc39e4c00819083a5c7bc3c9c1526 |
completed | May 19, 2026, 1:57 a.m. |
Created at: April 17, 2026, 3:02 p.m.