Triple
T15038950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue’s Clues |
E378549
|
entity |
| Predicate | leadActor |
P1507
|
FINISHED |
| Object | Steve Burns |
E884003
|
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: Steve Burns | Statement: [Blue’s Clues, leadActor, Steve Burns]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Burns Context triple: [Blue’s Clues, leadActor, Steve Burns]
-
A.
Steve Burns
chosen
Steve Burns is an American actor best known for his role as the original host of the children’s television series "Blue’s Clues."
-
B.
Jon G. Burns
Jon G. Burns is an American Republican politician serving as Speaker of the Georgia House of Representatives.
-
C.
Michael Burns
Michael Burns is a film producer known for his work on projects such as the psychological horror movie "Bug" (2006).
-
D.
Fred Burns
Fred Burns was an American actor known for his roles in early silent-era Westerns and adventure films.
-
E.
Dan Burns
Dan Burns is the widowed advice columnist and devoted father at the center of the romantic comedy-drama film "Dan in Real Life."
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded82cf3848190b0b2b6c9e65bc70b |
completed | April 15, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9de1c3a48190a9b3959a95627175 |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 2:59 a.m.