Triple
T19504664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dane Witherspoon |
E487988
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Capitol |
—
|
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: Capitol | Statement: [Dane Witherspoon, notableWork, Capitol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Capitol Context triple: [Dane Witherspoon, notableWork, Capitol]
-
A.
Capitol
Capitol is a major American record label known for signing and promoting a wide range of influential popular music artists.
-
B.
Capitol
chosen
"Capitol" is an American daytime soap opera that aired in the 1980s, focusing on political and personal intrigues in Washington, D.C.
-
C.
Capitol
Capitol is the grand, domed city on Gallifrey that serves as the political and administrative center of the Time Lords in the Doctor Who universe.
-
D.
Capitol
The Capitol of Dougga is a well-preserved Roman temple in modern-day Tunisia, dedicated to Jupiter, Juno, and Minerva, and renowned as one of the finest examples of Roman civic architecture in North Africa.
-
E.
The Capitol
The Capitol is the wealthy, authoritarian city that rules Panem with oppressive control in Suzanne Collins' The Hunger Games series.
- 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e635105db8819084915dc2d047188d |
completed | April 20, 2026, 2:15 p.m. |
Created at: April 10, 2026, 1:40 p.m.