Triple
T16360161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jason Robards |
E397287
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Rachel Taylor |
E397289
|
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 Taylor | Statement: [Jason Robards, spouse, Rachel Taylor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rachel Taylor Context triple: [Jason Robards, spouse, Rachel Taylor]
-
A.
Rachel Taylor
chosen
Rachel Taylor was the second wife of acclaimed American actor Jason Robards, with whom she was married in the mid-20th century.
-
B.
Rachael Taylor
Rachael Taylor is an Australian actress known for her roles in films like "Transformers" and TV series such as "Jessica Jones."
-
C.
Rebecca Taylor
Rebecca Taylor is a fictional character from the romantic comedy film "Nine Months," portrayed as the pregnant girlfriend whose unexpected news forces the commitment-phobic protagonist to confront impending fatherhood.
-
D.
Lee Taylor
Lee Taylor is a fictional character appearing in the "Doctor X" universe.
-
E.
Laura Carmichael
Laura Carmichael is a British actress best known for her role as Lady Edith Crawley in the television series "Downton Abbey."
- 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_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2fad241848190a9f32c7b050f20a5 |
completed | April 18, 2026, 3:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f3f93348190b835218ae42f3463 |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:07 a.m.