Triple
T6071314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Archibald Shaw |
E135286
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Jennifer Bourke |
E244321
|
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: Jennifer Bourke | Statement: [Robert Archibald Shaw, spouse, Jennifer Bourke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jennifer Bourke Context triple: [Robert Archibald Shaw, spouse, Jennifer Bourke]
-
A.
Jennifer Bourke
chosen
Jennifer Bourke is known as the spouse of actor Robert Shaw.
-
B.
Jennifer Arnott
Jennifer Arnott is best known as the longtime wife of acclaimed American actor Brian Dennehy.
-
C.
Katherine Wilkinson
Katherine Wilkinson is a climate strategist, author, and speaker known for her work on solutions-focused climate communication and leadership, including co-editing the influential book "All We Can Save."
-
D.
Moira Davidson
Moira Davidson is a central character in Nevil Shute’s post-apocalyptic novel "On the Beach," known for her poignant transformation from a carefree socialite to a woman confronting the end of the world with courage and emotional depth.
-
E.
Jennifer Barlow
Jennifer Barlow is a ghostly character featured in the horror film "The Pact."
- 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_69c00879e8048190b690717d19c5bc03 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05758a21c81909cc10ef5f725a489 |
completed | March 22, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c125274e1c8190b452fdeeb788a6f2 |
completed | March 23, 2026, 11:33 a.m. |
Created at: March 22, 2026, 4:10 p.m.