Triple
T17902907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bon Temps |
E447627
|
entity |
| Predicate | notableFictionalResidents |
P120353
|
FINISHED |
| Object | Lafayette Reynolds |
—
|
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: Lafayette Reynolds | Statement: [Bon Temps, notableFictionalResidents, Lafayette Reynolds]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lafayette Reynolds Context triple: [Bon Temps, notableFictionalResidents, Lafayette Reynolds]
-
A.
Lafayette Reynolds
chosen
Lafayette Reynolds is a flamboyant, sharp-tongued short-order cook and medium on the HBO vampire drama series "True Blood."
-
B.
Bayard Bradford
Bayard Bradford is a fictional character known primarily as the husband of Iris Carrington in the soap opera "Another World."
-
C.
Emory Rains
Emory Rains was a 19th-century Texas politician and jurist who played a significant role in the state's early legal and political development.
-
D.
Lucien Wilbanks
Lucien Wilbanks is a seasoned, principled Southern lawyer who serves as a key mentor and ally to Jake Brigance in John Grisham’s legal thrillers.
-
E.
Blackford Oakes
Blackford Oakes is a fictional American CIA agent and Cold War spy created by William F. Buckley Jr.
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49e99c3188190aead24cd3d48c7a7 |
completed | April 19, 2026, 9:21 a.m. |
Created at: April 10, 2026, 10:19 a.m.