Triple
T6764644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Watson |
E154686
|
entity |
| Predicate | hasRival |
P1375
|
FINISHED |
| Object | Rachel Watson |
E220703
|
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 Watson | Statement: [Anna Watson, hasRival, Rachel Watson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rachel Watson Context triple: [Anna Watson, hasRival, Rachel Watson]
-
A.
Rachel Watson
chosen
Rachel Watson is the troubled, alcoholic protagonist of "The Girl on the Train," whose obsession with her former life and the people she observes from her daily commute entangles her in a missing-person investigation.
-
B.
Emily Ruth Watson
Emily Ruth Watson is known as the wife of the late American soul musician and actor Isaac Hayes.
-
C.
Sheila Watson
Sheila Watson was a pioneering Canadian modernist writer and critic best known for her influential novel "The Double Hook," which helped shape the development of contemporary Canadian literature.
-
D.
Rachel Matthews
Rachel Matthews is an American actress best known for her voice role in Disney's animated film Frozen II.
-
E.
Jessica Fitzwater
Jessica Fitzwater is an American politician who serves as the chief executive of Frederick County, Maryland, overseeing the county’s government and administration.
- 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_69c688109c1c8190added9a221292af0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d217bbfc81908c9e55efaf7f8594 |
completed | March 27, 2026, 6:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a7b50388190b380f20f0213f0e5 |
completed | March 28, 2026, 12:02 a.m. |
Created at: March 27, 2026, 2:12 p.m.