Triple
T21716139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doreen Lawrence |
E536032
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Doreen |
—
|
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: Doreen | Statement: [Doreen Lawrence, givenName, Doreen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doreen Context triple: [Doreen Lawrence, givenName, Doreen]
-
A.
Doreen
chosen
Doreen is a lively, rebellious young woman in Sylvia Plath’s novel "The Bell Jar," serving as a foil to the protagonist Esther Greenwood.
-
B.
Melva
Melva is a character in Richard Bruce Nugent’s modernist short story "Smoke, Lilies and Jade," which explores themes of race, sexuality, and artistic identity during the Harlem Renaissance.
-
C.
Dorys Madden
Dorys Madden is best known as the wife of Basketball Hall of Famer Julius "Dr. J" Erving.
-
D.
Dodie
Dodie is the nickname of English novelist and playwright Dodie Smith, best known as the author of "The Hundred and One Dalmatians" and "I Capture the Castle."
-
E.
Bobbie
Bobbie is a character in the 1971 drama film "Carnal Knowledge," which explores the evolving sexual and emotional relationships of two college friends over several decades.
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd96ab4c88190b76f4a6b7c855039 |
completed | April 27, 2026, 9:47 p.m. |
Created at: April 16, 2026, 6:47 p.m.