Triple
T13831685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nashville |
E332412
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Rayna Jaymes |
E871460
|
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: Rayna Jaymes | Statement: [Nashville, mainCharacter, Rayna Jaymes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rayna Jaymes Context triple: [Nashville, mainCharacter, Rayna Jaymes]
-
A.
Rayna Jaymes
chosen
Rayna Jaymes is a fictional country music superstar and central character on the television series "Nashville."
-
B.
Rayna Tyson
Rayna Tyson is the daughter of former heavyweight boxing champion Mike Tyson.
-
C.
Raven Shaddock
Raven Shaddock is the sadistic, leather-clad leader of a biker gang and the main antagonist in the 1984 rock-and-roll action film "Streets of Fire."
-
D.
Tessa Scott
Tessa Scott is a terminally ill teenage girl who creates and pursues a bold bucket list while confronting love, family, and mortality in the novel and film "Now Is Good."
-
E.
Daisy Coulam
Daisy Coulam is a British television writer and producer known for creating and writing crime and drama series for UK television.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0299334481908c2b271eaf06e4b7 |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8efe0948190aaf972cccc2ebc90 |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 10:13 p.m.