Triple
T21722527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Against All Odds |
E536195
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Rachel Ward |
—
|
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: Rachel Ward | Statement: [Against All Odds, starring, Rachel Ward]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rachel Ward Context triple: [Against All Odds, starring, 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 was the wife of American Civil War Confederate general and later New York City street commissioner Gustavus W. Smith.
-
D.
Sarah Ward
Sarah Ward is a British producer and the former wife of actor Tom Hardy.
-
E.
Sarah Ward
Sarah Ward is the birth name of English actress and author Lalla Ward, best known for playing Romana in the classic science-fiction series "Doctor Who."
- 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_69efd97032c08190820b87a288e77293 |
completed | April 27, 2026, 9:47 p.m. |
Created at: April 16, 2026, 6:47 p.m.