Triple

T20398172
Position Surface form Disambiguated ID Type / Status
Subject A Ticket to Tomahawk E500261 entity
Predicate MarilynMonroeRole P139982 FINISHED
Object Clara NE NERFINISHED

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: Clara | Statement: [A Ticket to Tomahawk, MarilynMonroeRole, Clara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clara
Context triple: [A Ticket to Tomahawk, MarilynMonroeRole, Clara]
  • A. Clara
    Clara is the young heroine of Tchaikovsky’s ballet "The Nutcracker," whose magical Christmas Eve adventure begins when her toy nutcracker comes to life.
  • B. Clara
    Clara is the central female protagonist of Pedro Almodóvar’s 1997 Spanish drama film "Live Flesh," around whom much of the film’s emotional and narrative tension revolves.
  • C. Clara
    Clara is a feminine given name of Latin origin, derived from "clarus" meaning "bright" or "famous."
  • D. Clara
    Clara is a character in the American folk opera "Porgy and Bess," known as a young mother whose lullaby "Summertime" is one of the work’s most famous songs.
  • E. Clara
    Clara is a small Irish town located in County Offaly, known historically for its milling industry and proximity to the River Brosna.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Clara
Target entity description: Clara is the character played by Marilyn Monroe in the 1950 Western comedy film "A Ticket to Tomahawk."
  • A. Clara
    Clara is the central female protagonist of Pedro Almodóvar’s 1997 Spanish drama film "Live Flesh," around whom much of the film’s emotional and narrative tension revolves.
  • B. Clara
    Clara is a character in the American folk opera "Porgy and Bess," known as a young mother whose lullaby "Summertime" is one of the work’s most famous songs.
  • C. Clara
    Clara is the young heroine of Tchaikovsky’s ballet "The Nutcracker," whose magical Christmas Eve adventure begins when her toy nutcracker comes to life.
  • D. Clara
    Clara is a fictional child character from Edward Gorey’s darkly comic alphabet book "The Gashlycrumb Tinies," known for its macabre depictions of children’s deaths.
  • E. Clara
    Clara is a feminine given name of Latin origin, derived from "clarus" meaning "bright" or "famous."
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: MarilynMonroeRole
Context triple: [A Ticket to Tomahawk, MarilynMonroeRole, Clara]
  • A. MarilynMonroeRoleType
    Indicates the type or category of role associated with Marilyn Monroe in a given context.
  • B. hasMarleneDietrichRoleType
    Indicates that an entity has a specific type or category of role associated with Marlene Dietrich.
  • C. barbaraStanwyckRole
    Indicates that the subject is a role or character portrayed by Barbara Stanwyck.
  • D. isMarilyn
    Indicates that the subject is (or is being identified as) Marilyn.
  • E. hasElizabethTaylorRole
    Indicates that an entity has a role that was originally played by, associated with, or famously portrayed by Elizabeth Taylor.
  • F. None of above. chosen

Provenance (4 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_69e0b4a81bec8190b69adfdc1336a015 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6798c2b28819092fab93f01218cde completed April 20, 2026, 7:07 p.m.
PD Predicate disambiguation batch_69e5765d7cb48190adec18d6d1e3d263 completed April 20, 2026, 12:42 a.m.
PDg Predicate description generation batch_69e58d7481508190a87c8b88f9df9879 completed April 20, 2026, 2:20 a.m.
Created at: April 16, 2026, 11:29 a.m.