Triple

T9088092
Position Surface form Disambiguated ID Type / Status
Subject Fred MacMurray E217808 entity
Predicate notableWork P4 FINISHED
Object Quantez
Quantez is a 1957 American Western film starring Fred MacMurray as a weary outlaw holed up in a ghost town on the Mexican border.
E777491 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: Quantez | Statement: [Fred MacMurray, notableWork, Quantez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quantez
Context triple: [Fred MacMurray, notableWork, Quantez]
  • A. Kwinti
    Kwinti are a Maroon Afro-Surinamese community in Suriname, known for their distinct culture, history of resistance to slavery, and unique linguistic and religious traditions.
  • B. Squant
    Squant is a figure from Wampanoag and related Indigenous mythologies, known primarily as the wife of the culture hero and giant Moshup.
  • C. Quandt
    Quandt is the surname of a prominent German industrialist family closely tied to major companies like BMW and historically associated with Magda Goebbels.
  • D. Quidam
    Quidam is a Cirque du Soleil touring production known for its surreal, introspective narrative and innovative blend of acrobatics, music, and visual artistry.
  • E. Quinet
    Quinet was a notable philhellene recognized for his support of Greek independence and culture.
  • 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: Quantez
Triple: [Fred MacMurray, notableWork, Quantez]
Generated description
Quantez is a 1957 American Western film starring Fred MacMurray as a weary outlaw holed up in a ghost town on the Mexican border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Quantez
Target entity description: Quantez is a 1957 American Western film starring Fred MacMurray as a weary outlaw holed up in a ghost town on the Mexican border.
  • A. Kwinti
    Kwinti are a Maroon Afro-Surinamese community in Suriname, known for their distinct culture, history of resistance to slavery, and unique linguistic and religious traditions.
  • B. Squant
    Squant is a figure from Wampanoag and related Indigenous mythologies, known primarily as the wife of the culture hero and giant Moshup.
  • C. Quandt
    Quandt is the surname of a prominent German industrialist family closely tied to major companies like BMW and historically associated with Magda Goebbels.
  • D. Quidam
    Quidam is a Cirque du Soleil touring production known for its surreal, introspective narrative and innovative blend of acrobatics, music, and visual artistry.
  • E. Quinet
    Quinet was a notable philhellene recognized for his support of Greek independence and culture.
  • 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_69ca83d8ab5881909d8fddae363b32b1 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc965646408190b041ab0e2d5dbc94 completed April 1, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d017d500988190a6abf633f2226858 completed April 3, 2026, 7:41 p.m.
NEDg Description generation batch_69d01963aac881909a4890948f7b7c1c completed April 3, 2026, 7:47 p.m.
NED2 Entity disambiguation (via description) batch_69d019f55a6c8190b7065c0dcb5bb1d9 completed April 3, 2026, 7:50 p.m.
Created at: March 30, 2026, 7:13 p.m.