Triple
T23385744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betty Jean Butler |
E593873
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | Who Asked You? |
—
|
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: Who Asked You? | Statement: [Betty Jean Butler, appearsIn, Who Asked You?]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Who Asked You? Context triple: [Betty Jean Butler, appearsIn, Who Asked You?]
-
A.
Who Asked You?
chosen
"Who Asked You?" is a contemporary novel by Terry McMillan that follows a multigenerational African American family navigating love, responsibility, and personal reinvention amid everyday struggles.
-
B.
If You Ask
"If You Ask" is a song featured on Owl City's synth-pop album "Fireflies."
-
C.
Ask Myself
"Ask Myself" is a song by R&B singer Robin Thicke from his debut studio album "The Evolution of Robin Thicke."
-
D.
If You Have to Ask
"If You Have to Ask" is a funk-infused opening track by the Red Hot Chili Peppers, known for its groove-driven bassline and playful, improvisational feel.
-
E.
The Questions
The Questions is a section of the novel "Like Water for Chocolate" that presents reflective or discussion prompts related to the story’s themes and events.
- 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_69e25d2754fc819085deea939bde60ab |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a498286c8190abfa381649812cf0 |
completed | April 29, 2026, 6:26 a.m. |
Created at: April 17, 2026, 5:35 p.m.