Triple
T20684909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tod Robbins |
E508387
|
entity |
| Predicate | creativeWork |
P18814
|
FINISHED |
| Object | Who Wants a Green Bottle? |
—
|
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 Wants a Green Bottle? | Statement: [Tod Robbins, creativeWork, Who Wants a Green Bottle?]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Who Wants a Green Bottle? Context triple: [Tod Robbins, creativeWork, Who Wants a Green Bottle?]
-
A.
Who Wants a Green Bottle?
chosen
"Who Wants a Green Bottle?" is a macabre short story by Tod Robbins, best known for its dark, psychological horror and influence on early 20th-century weird fiction.
-
B.
The Bottle
The Bottle is a socially conscious 1974 jazz-funk song by Gil Scott-Heron and Brian Jackson that critiques alcoholism and urban poverty.
-
C.
Bottle It Up
"Bottle It Up" is a pop song by singer-songwriter Sara Bareilles from her debut major-label album, Little Voice.
-
D.
Empty Bottles
"Empty Bottles" is a song by the American rock band Boss.
-
E.
Poppin Them Bottles
"Poppin Them Bottles" is a track from Lil Wayne's influential mixtape "Dedication 2," known for its celebratory, boastful lyrics and energetic Southern hip-hop style.
- 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_69e0b4c1ed408190b72dd26b1e33f8a1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6beabf72881909771b6c6a81276d6 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 11:45 a.m.