Triple
T8965834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bryan Brown |
E214129
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Rachel Ward |
E718911
|
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: Rachel Ward | Statement: [Bryan Brown, spouse, Rachel Ward]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rachel Ward Context triple: [Bryan Brown, spouse, Rachel Ward]
-
A.
Rachel Ward
Rachel Ward is a mathematician known for her influential research in applied and computational mathematics, including work in areas such as optimization and data science.
-
B.
Rachel Ward
chosen
Rachel Ward is an English-Australian actress and director best known for her role in the television miniseries "The Thorn Birds."
-
C.
Sarah Ward
Sarah Ward is a British producer and the former wife of actor Tom Hardy.
-
D.
Elizabeth Wilson
Elizabeth Wilson was an American actress known for her versatile character roles on stage, film, and television, including performances in "The Graduate" and "9 to 5."
-
E.
Ann Hould-Ward
Ann Hould-Ward is a Tony Award–winning American costume designer renowned for her work on major Broadway productions, including Disney’s stage adaptation of Beauty and the Beast.
- 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_69ca839cd6008190a1546a701a56710c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67623818819096aee155a9b43e8f |
completed | April 1, 2026, 12:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0a753f8819084b952f20997c8d6 |
completed | April 3, 2026, 2:37 p.m. |
Created at: March 30, 2026, 7:01 p.m.