Triple
T20182670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Underground Railroad to Candyland |
E492770
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Mike Felix |
—
|
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: Mike Felix | Statement: [The Underground Railroad to Candyland, hasMember, Mike Felix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Felix Context triple: [The Underground Railroad to Candyland, hasMember, Mike Felix]
-
A.
Mike Felix
chosen
Mike Felix is a musician best known as a member of the punk rock band F.Y.P (Five Year Plan).
-
B.
Steve Frazelli
Steve Frazelli is the primary antagonist in the 2003 heist film "The Italian Job," a duplicitous thief who betrays his crew to steal their gold.
-
C.
Mike O'Brien
Mike O'Brien is an American comedian, writer, and producer best known for his work on Saturday Night Live and for creating the sitcom A.P. Bio.
-
D.
Mike O'Connell
Mike O'Connell is a former professional ice hockey defenseman and NHL executive best known for his tenure as general manager of the Boston Bruins.
-
E.
Mike Tucker
Mike Tucker is a fictional character from the long-running British science fiction television series "Doctor Who."
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e668ef9370819091a8479f811002a9 |
completed | April 20, 2026, 5:57 p.m. |
Created at: April 11, 2026, 11:36 p.m.