Triple
T20915617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reggie Lanning |
E515063
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object | Dakota |
—
|
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: Dakota | Statement: [Reggie Lanning, workedOn, Dakota]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dakota Context triple: [Reggie Lanning, workedOn, Dakota]
-
A.
Dakota
"Dakota" is a hit 2005 rock single by Welsh band Stereophonics, known for its anthemic sound and widespread commercial success.
-
B.
Dakota
Dakota is a given name commonly used in English-speaking countries for both males and females, derived from the Native American Dakota people and language.
-
C.
Dakota
Dakota is a character from the 1950 Western comedy film "A Ticket to Tomahawk," set against the backdrop of a frontier railroad adventure.
-
D.
Dakota
chosen
Dakota is a 1945 American Western film starring John Wayne and Vera Ralston, directed by Joseph Kane.
-
E.
Dakota
The Dakota are a Native American people of the Sioux Nation historically located in the northern Great Plains and woodlands of what is now the United States and Canada.
- 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_69e0b4f9d5ec8190bb2bd27350ed341c |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6ec628a38819093dcb70de91c770b |
completed | April 21, 2026, 3:17 a.m. |
Created at: April 16, 2026, 12:48 p.m.