Triple

T19937791
Position Surface form Disambiguated ID Type / Status
Subject Marcia Manon E479218 entity
Predicate notableWork P4 FINISHED
Object The Turn of the Wheel
The Turn of the Wheel is a silent-era film best known today for featuring actress Marcia Manon in a prominent role.
 E1403292 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 Turn of the Wheel | Statement: [Marcia Manon, notableWork, The Turn of the Wheel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Turn of the Wheel
Context triple: [Marcia Manon, notableWork, The Turn of the Wheel]
  • A. Beneath the Wheel
    Beneath the Wheel is a semi-autobiographical novel by Hermann Hesse that critiques rigid educational systems through the tragic story of a gifted boy crushed by societal expectations.
  • B. The Turn
    "The Turn" is a song by the artist Kala.
  • C. The Turn
    The Turn is a track from M.I.A.'s debut album "Arular," showcasing her distinctive blend of electronic, hip hop, and global dance influences.
  • D. My Winding Wheel
    "My Winding Wheel" is a song by American singer-songwriter Ryan Adams from his acclaimed 2000 debut solo album, *Heartbreaker*.
  • E. O, How the Wheel Becomes It
    "O, How the Wheel Becomes It" is a comic novel by British author Anthony Powell that explores themes of ambition, social maneuvering, and the passage of time within mid-20th-century English society.
  • 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 Turn of the Wheel
Triple: [Marcia Manon, notableWork, The Turn of the Wheel]
Generated description
The Turn of the Wheel is a silent-era film best known today for featuring actress Marcia Manon in a prominent role.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: The Turn of the Wheel
Target entity description: The Turn of the Wheel is a silent-era film best known today for featuring actress Marcia Manon in a prominent role.
  • A. Beneath the Wheel
    Beneath the Wheel is a semi-autobiographical novel by Hermann Hesse that critiques rigid educational systems through the tragic story of a gifted boy crushed by societal expectations.
  • B. The Turn
    "The Turn" is a song by the artist Kala.
  • C. The Turn
    The Turn is a track from M.I.A.'s debut album "Arular," showcasing her distinctive blend of electronic, hip hop, and global dance influences.
  • D. My Winding Wheel
    "My Winding Wheel" is a song by American singer-songwriter Ryan Adams from his acclaimed 2000 debut solo album, *Heartbreaker*.
  • E. O, How the Wheel Becomes It
    "O, How the Wheel Becomes It" is a comic novel by British author Anthony Powell that explores themes of ambition, social maneuvering, and the passage of time within mid-20th-century English society.
  • 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a190ac08190b9dc7955c9764a71 completed April 20, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07f6ec40f88190926f1330300fdc61 completed May 16, 2026, 4:47 a.m.
NEDg Description generation batch_6a07f9c8f6c08190a949ebbb70b08d01 completed May 16, 2026, 4:59 a.m.
NED2 Entity disambiguation (via description) batch_6a07fb3a144c8190b9bf2148702d6b6c completed May 16, 2026, 5:06 a.m.
Created at: April 10, 2026, 1:53 p.m.