Triple
T20925501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Babe, I’m Gonna Leave You" |
E515332
|
entity |
| Predicate | coveredBy |
P6130
|
FINISHED |
| Object | Great White |
—
|
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: Great White | Statement: ["Babe, I’m Gonna Leave You", coveredBy, Great White]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Great White Context triple: ["Babe, I’m Gonna Leave You", coveredBy, Great White]
-
A.
Great White
Great White is a steel inverted roller coaster at SeaWorld San Antonio known for its intense loops and floorless, suspended trains.
-
B.
Great White
chosen
Great White is an American hard rock band best known for its blues-infused metal sound and late-1980s hits like "Once Bitten, Twice Shy."
-
C.
great white shark (Jaws)
The great white shark in "Jaws" is the massive, relentless predator that terrorizes Amity Island and serves as the primary antagonist of Steven Spielberg's classic 1975 thriller.
-
D.
Shark
Shark is an American legal drama television series starring James Woods as a ruthless but reforming Los Angeles prosecutor.
-
E.
Noah Shark
Noah Shark is a music producer known for his work on rock recordings such as Tom Petty and the Heartbreakers’ early material.
- 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_69e0b4fb431c8190b9d40e6a72f0cc87 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f651278481909e7194f892703828 |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 12:49 p.m.