Triple
T18218764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jane Birkin |
E436236
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Kate Barry |
—
|
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: Kate Barry | Statement: [Jane Birkin, child, Kate Barry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kate Barry Context triple: [Jane Birkin, child, Kate Barry]
-
A.
Kate Barry
chosen
Kate Barry was a British-French photographer known for her intimate portraits of artists and celebrities, and as the daughter of Jane Birkin and composer John Barry.
-
B.
Kate Burroughs
Kate Burroughs is the central protagonist of the film "The Four Seasons," around whom the story’s relationships and events revolve.
-
C.
Laura Hawkins
Laura Hawkins was a childhood friend and early love interest of Mark Twain whose personality and experiences inspired the character Becky Thatcher in "The Adventures of Tom Sawyer."
-
D.
Lisa Reed
Lisa Reed is known as the spouse of Dizzy Reed, the longtime keyboardist for the rock band Guns N' Roses.
-
E.
Emily Greer
Emily Greer is a notable individual recognized as a prominent bearer of the surname Greer.
- 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e47926988190802c00b074cdc696 |
completed | April 19, 2026, 2:19 p.m. |
Created at: April 10, 2026, 10:32 a.m.