Triple
T8524102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chuy Castillos |
E201767
|
entity |
| Predicate | appearsAlongside |
P25756
|
FINISHED |
| Object | Rose Nylund |
E339035
|
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: Rose Nylund | Statement: [Chuy Castillos, appearsAlongside, Rose Nylund]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rose Nylund Context triple: [Chuy Castillos, appearsAlongside, Rose Nylund]
-
A.
Rose Nylund
chosen
Rose Nylund is a sweet, naive, and hilariously literal-minded Midwestern woman portrayed by Betty White on the classic sitcom "The Golden Girls."
-
B.
Nora Mellon
Nora Mellon was a member of the prominent Mellon family after whom the industrial town of Donora, Pennsylvania, was named.
-
C.
Meryl Swanson
Meryl Swanson is an Australian politician and member of the House of Representatives for the Labor Party.
-
D.
Karen Aldrich
Karen Aldrich is a character in Judith Guest’s novel "Ordinary People," known as a friend of protagonist Conrad Jarrett who reflects his struggles with trauma and recovery.
-
E.
Gwynne Gilford
Gwynne Gilford is an American former actress who appeared in film and television in the 1970s and 1980s.
- 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_69ca8321bb44819081b74df0b710276d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe64362c88190b978a2544eec6e3e |
completed | March 31, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dbc697388190b384c7ed9e6a65dc |
completed | April 10, 2026, 11:15 a.m. |
Created at: March 30, 2026, 6:16 p.m.