Triple
T16074468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The big brain |
E389947
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Susan Blackmore |
E16539
|
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: Susan Blackmore | Statement: [The big brain, author, Susan Blackmore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susan Blackmore Context triple: [The big brain, author, Susan Blackmore]
-
A.
Susan Blackmore
chosen
Susan Blackmore is a British psychologist, writer, and skeptic best known for her work on consciousness, memes, and the scientific investigation of paranormal claims.
-
B.
Carol Vessey
Carol Vessey is a fictional high school teacher and love interest of the title character in the television series "Ed."
-
C.
Alice Elliott Dark
Alice Elliott Dark is an American writer best known for her acclaimed short stories and novels that explore complex emotional and familial relationships.
-
D.
Sandra Lovelock
Sandra Lovelock is known as the wife of British scientist James Lovelock, the originator of the Gaia hypothesis.
-
E.
Sophie D. Coe
Sophie D. Coe was a food historian and anthropologist known for her influential work on the history of chocolate and Mesoamerican cuisine.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e183c0e4388190b4b9b86e1c38f184 |
completed | April 17, 2026, 12:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe48715e48190a493d1e373dc7c5f |
completed | May 10, 2026, 1:51 a.m. |
Created at: April 10, 2026, 4:57 a.m.