Triple

T20918497
Position Surface form Disambiguated ID Type / Status
Subject Who’s the Man? E515139 entity
Predicate starring P1507 FINISHED
Object Kram
Kram is an actor known for appearing in the film "Who’s the Man?".
 E1457830 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: Kram | Statement: [Who’s the Man?, starring, Kram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kram
Context triple: [Who’s the Man?, starring, Kram]
  • A. Le Kram
    Le Kram is a coastal town and suburb of Tunis in northeastern Tunisia, known for its proximity to the capital and the Gulf of Tunis.
  • B. Krammer
    Krammer is a body of water in the Rhine–Meuse–Scheldt delta in the southwestern Netherlands, known as a former estuarine channel now separated from the sea by dams and used for recreation and water management.
  • C. Kramers
    Kramers is a Dutch surname most notably associated with physicist Hendrik Anthony Kramers, known for his contributions to quantum mechanics and statistical physics.
  • D. Klem
    Klem is the surname of William Joseph Klem, a pioneering and highly influential American Major League Baseball umpire often called the "father of baseball umpires."
  • E. Kru
    Kru is an actor known for appearing in the film "Chang: A Drama of the Wilderness."
  • 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: Kram
Triple: [Who’s the Man?, starring, Kram]
Generated description
Kram is an actor known for appearing in the film "Who’s the Man?".
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kram
Target entity description: Kram is an actor known for appearing in the film "Who’s the Man?".
  • A. Le Kram
    Le Kram is a coastal town and suburb of Tunis in northeastern Tunisia, known for its proximity to the capital and the Gulf of Tunis.
  • B. Krammer
    Krammer is a body of water in the Rhine–Meuse–Scheldt delta in the southwestern Netherlands, known as a former estuarine channel now separated from the sea by dams and used for recreation and water management.
  • C. Kramers
    Kramers is a Dutch surname most notably associated with physicist Hendrik Anthony Kramers, known for his contributions to quantum mechanics and statistical physics.
  • D. Klem
    Klem is the surname of William Joseph Klem, a pioneering and highly influential American Major League Baseball umpire often called the "father of baseball umpires."
  • E. Kru
    Kru is an actor known for appearing in the film "Chang: A Drama of the Wilderness."
  • 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_69e0b4f9d5ec8190bb2bd27350ed341c completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6ec647028819082031eb706a62ad5 completed April 21, 2026, 3:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a091fc6e5188190b1c7cd65c737da56 completed May 17, 2026, 1:54 a.m.
NEDg Description generation batch_6a0920eafb048190a93885530a357b83 completed May 17, 2026, 1:59 a.m.
NED2 Entity disambiguation (via description) batch_6a0921b56d3881908c7d71c11bc3b925 completed May 17, 2026, 2:02 a.m.
Created at: April 16, 2026, 12:48 p.m.