Triple
T20478618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loren Dean |
E502391
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Terriers |
—
|
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: Terriers | Statement: [Loren Dean, notableWork, Terriers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terriers Context triple: [Loren Dean, notableWork, Terriers]
-
A.
Terriers
Terriers is the nickname of a sports team known as "The Dog Pound."
-
B.
Terriers
The Terriers are the athletic teams representing Boston University in collegiate sports competitions.
-
C.
Terriers
Terriers are a group of small to medium-sized, energetic and tenacious dog breeds originally developed for hunting and vermin control.
-
D.
Terriers
chosen
Terriers is an American crime drama television series that blends noir mystery with dark humor, following an unlicensed private investigator and his partner in a small California beach town.
-
E.
Terriers
Terriers was the nickname of the St. Louis Terriers, a short-lived Federal League baseball team that played in the mid-1910s.
- 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_69e0b4af32848190aea80682b44d5d6e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69b54c8188190a71e35fab8d194a6 |
completed | April 20, 2026, 9:32 p.m. |
Created at: April 16, 2026, 11:34 a.m.