Triple
T13607587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barber |
E325104
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Lynn Barber |
E866267
|
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: Lynn Barber | Statement: [Barber, hasNotableBearer, Lynn Barber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lynn Barber Context triple: [Barber, hasNotableBearer, Lynn Barber]
-
A.
Lynn Barber
chosen
Lynn Barber is a British journalist and memoirist whose autobiographical writings, including the memoir that inspired the film "An Education," are known for their candor and sharp insight.
-
B.
Rosemary Leith
Rosemary Leith is a Canadian-born entrepreneur and internet governance leader who co-founded the World Wide Web Foundation and serves on various boards related to technology and public policy.
-
C.
Lynn Carlin
Lynn Carlin is an American actress best known for her Oscar-nominated film debut in John Cassavetes' 1968 drama "Faces."
-
D.
Tina Lifford
Tina Lifford is an American actress best known for her roles in film and television, including her acclaimed performance as Violet Bordelon on the drama series "Queen Sugar."
-
E.
Joan Bakewell
Joan Bakewell is a British journalist, broadcaster, and writer renowned for her long career in television and radio and her influential commentary on culture and public affairs.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb07f462c8190b5b5e115d550037f |
completed | April 12, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f96280881908bab3af5c80f6d55 |
completed | May 3, 2026, 5:02 p.m. |
Created at: April 9, 2026, 9:50 p.m.