Triple
T18958744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Dean Martin Show |
E463852
|
entity |
| Predicate | featuredPerformer |
P17435
|
FINISHED |
| Object |
Ken Lane
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.
|
E1350435
|
NE FINISHED |
How this triple was built (4 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: [The Dean Martin Show, featuredPerformer, Ken Lane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ken Lane Context triple: [The Dean Martin Show, featuredPerformer, Ken Lane]
-
A.
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.
-
B.
Mark Lane
Mark Lane is a film producer known for his work on genre movies, including the shark thriller "47 Meters Down: Uncaged."
-
C.
Mike Lane
Mike Lane is the charismatic male stripper and aspiring entrepreneur portrayed by Channing Tatum in the Magic Mike film series.
-
D.
Mike Lane
Mike Lane is an actor best known for his role in the 1956 boxing drama film "The Harder They Fall."
-
E.
Scott Lane
Scott Lane is a participant featured in the documentary series "Shots in the Dark," which follows photographers working on the overnight crime beat.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ken Lane Triple: [The Dean Martin Show, featuredPerformer, Ken Lane]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ken Lane Target entity description: 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.
-
A.
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.
-
B.
Mark Lane
Mark Lane is a film producer known for his work on genre movies, including the shark thriller "47 Meters Down: Uncaged."
-
C.
Mike Lane
Mike Lane is the charismatic male stripper and aspiring entrepreneur portrayed by Channing Tatum in the Magic Mike film series.
-
D.
Mike Lane
Mike Lane is an actor best known for his role in the 1956 boxing drama film "The Harder They Fall."
-
E.
Scott Lane
Scott Lane is a participant featured in the documentary series "Shots in the Dark," which follows photographers working on the overnight crime beat.
- F. None of above. chosen
Provenance (5 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a059fd732f8819087374b0157bb693e |
completed | May 14, 2026, 10:11 a.m. |
| NEDg | Description generation | batch_6a05a162a4ec81908bcdccd46e19035e |
completed | May 14, 2026, 10:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05a1f3b8908190b8295a25fff9daba |
completed | May 14, 2026, 10:20 a.m. |
Created at: April 10, 2026, noon