Triple
T18959276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Everybody Loves Somebody |
E463866
|
entity |
| Predicate | lyricist |
P1360
|
FINISHED |
| Object | Ken Lane |
—
|
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: Ken Lane | Statement: [Everybody Loves Somebody, lyricist, Ken Lane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ken Lane Context triple: [Everybody Loves Somebody, lyricist, Ken Lane]
-
A.
Ken Lane
chosen
Ken Lane was an American pianist, composer, and arranger best known for his long-running role as Dean Martin’s musical director and on-screen accompanist on The Dean Martin Show.
-
B.
Mark Lane
Mark Lane is a street in the City of London, historically associated with the grain trade and located near Fenchurch Street and the Tower of London.
-
C.
Mark Lane
Mark Lane is a film producer known for his work on genre movies, including the shark thriller "47 Meters Down: Uncaged."
-
D.
Mike Lane
Mike Lane is the charismatic male stripper and aspiring entrepreneur portrayed by Channing Tatum in the Magic Mike film series.
-
E.
Mike Lane
Mike Lane is an actor best known for his role in the 1956 boxing drama film "The Harder They Fall."
- 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d5d057a48190b82b5788b3281e28 |
completed | April 20, 2026, 7:29 a.m. |
Created at: April 10, 2026, noon