Triple
T22630304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cottrell |
E558529
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Alan Cottrell |
—
|
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: Alan Cottrell | Statement: [Cottrell, hasNotableBearer, Alan Cottrell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alan Cottrell Context triple: [Cottrell, hasNotableBearer, Alan Cottrell]
-
A.
Alan Cottrell
chosen
Alan Cottrell was a prominent British metallurgist and materials scientist renowned for his pioneering work on the mechanical properties of metals and their defects.
-
B.
Bill Cottrell
Bill Cottrell was an American screenwriter and story artist best known for his work on early Walt Disney animated films.
-
C.
Tony Cottrell
Tony Cottrell, better known by his stage name Hi-Tek, is an American hip hop producer and DJ recognized for his soulful, sample-based beats and collaborations with artists like Talib Kweli and Mos Def.
-
D.
John Cluett
John Cluett is best known as the husband of Canadian-American actress Heather Menzies, who starred in the film "The Sound of Music."
-
E.
Richard Hiscott
Richard Hiscott is an editor known for his work on the television series "Willow."
- 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_69e245467d9881908d6985bd0db7a1f1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17008e7648190b243c18067b4efb9 |
completed | April 29, 2026, 2:42 a.m. |
Created at: April 17, 2026, 3:02 p.m.