Triple
T22863390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ladies and Gentlemen... the Grateful Dead |
E566984
|
entity |
| Predicate | includesSong |
P7178
|
FINISHED |
| Object | Wharf Rat |
—
|
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: Wharf Rat | Statement: [Ladies and Gentlemen... the Grateful Dead, includesSong, Wharf Rat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wharf Rat Context triple: [Ladies and Gentlemen... the Grateful Dead, includesSong, Wharf Rat]
-
A.
Wharf Rat
chosen
"Wharf Rat" is a soulful, narrative-driven rock ballad by the Grateful Dead, known for its vivid storytelling and emotional live performances.
-
B.
The Rat Catchers
The Rat Catchers is a 1960s British television drama series about a secret government counter-espionage unit.
-
C.
The River Rat
The River Rat is a 1984 American adventure-drama film about an ex-convict bonding with his daughter during a perilous river journey, co-written by screenwriter Nelson Gidding.
-
D.
The Red Rat
The Red Rat is a workplace or establishment, likely a bar, restaurant, or similar venue, where Lucy Harris is employed.
-
E.
The Waterfront
The Waterfront is a retail and entertainment complex known for its variety of shops, dining options, and leisure activities in a single destination.
- 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_69e24589083081908d5694c4fdc80086 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17eff1c18819081dc9dfc1816f746 |
completed | April 29, 2026, 3:46 a.m. |
Created at: April 17, 2026, 3:38 p.m.