Triple

T13749151
Position Surface form Disambiguated ID Type / Status
Subject Darryl Hill E330294 entity
Predicate notableAlias P39 FINISHED
Object The Cab Driver
The Cab Driver is the alias of Darryl Hill, a figure known primarily in connection with his activities under this moniker.
 E1060679 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: The Cab Driver | Statement: [Darryl Hill, notableAlias, The Cab Driver]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Cab Driver
Context triple: [Darryl Hill, notableAlias, The Cab Driver]
  • A. Mr. Cab Driver
    "Mr. Cab Driver" is a politically charged rock-funk song by Lenny Kravitz, known for its raw guitar sound and lyrics confronting racism and prejudice.
  • B. Lady Cab Driver
    "Lady Cab Driver" is a funk-infused, sexually charged track by Prince from his acclaimed 1982 double album "1999."
  • C. Taxi for Two
    Taxi for Two is a song by the pop group The Taxi Boys.
  • D. The Driver's Seat
    The Driver's Seat is a darkly comic, psychologically intense novella by Muriel Spark that follows a disturbed woman’s self-destructive journey toward a preordained violent end.
  • E. The Great Miss Driver
    The Great Miss Driver is a lesser-known novel by British author Anthony Hope, best known for his adventure classic "The Prisoner of Zenda."
  • 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: The Cab Driver
Triple: [Darryl Hill, notableAlias, The Cab Driver]
Generated description
The Cab Driver is the alias of Darryl Hill, a figure known primarily in connection with his activities under this moniker.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: The Cab Driver
Target entity description: The Cab Driver is the alias of Darryl Hill, a figure known primarily in connection with his activities under this moniker.
  • A. Mr. Cab Driver
    "Mr. Cab Driver" is a politically charged rock-funk song by Lenny Kravitz, known for its raw guitar sound and lyrics confronting racism and prejudice.
  • B. Lady Cab Driver
    "Lady Cab Driver" is a funk-infused, sexually charged track by Prince from his acclaimed 1982 double album "1999."
  • C. Taxi for Two
    Taxi for Two is a song by the pop group The Taxi Boys.
  • D. The Driver's Seat
    The Driver's Seat is a darkly comic, psychologically intense novella by Muriel Spark that follows a disturbed woman’s self-destructive journey toward a preordained violent end.
  • E. The Great Miss Driver
    The Great Miss Driver is a lesser-known novel by British author Anthony Hope, best known for his adventure classic "The Prisoner of Zenda."
  • 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_69d81c573f288190aa2403d484fa3d49 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02132a108190aca728b95e83af01 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a854098c8190983d142c9930962b completed May 3, 2026, 7:56 p.m.
NEDg Description generation batch_69f7ac78ef5081909caccd2fc5772f24 completed May 3, 2026, 8:13 p.m.
NED2 Entity disambiguation (via description) batch_69f7ad54e3e88190aeae31d69788cce5 completed May 3, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:08 p.m.