Triple

T14216471
Position Surface form Disambiguated ID Type / Status
Subject Leela E352363 entity
Predicate loveInterest P7325 FINISHED
Object Andred
Andred is a Gallifreyan guard from the classic Doctor Who series who becomes romantically involved with the Time Lady companion Leela.
 E1088670 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: Andred | Statement: [Leela, loveInterest, Andred]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Andred
Context triple: [Leela, loveInterest, Andred]
  • A. Andru
    Andru is a diminutive form of the given name Andrei, typically used as an affectionate or informal nickname.
  • B. Andre
    Andre is the given name of Andre Reed, a former American football wide receiver best known for his long career with the Buffalo Bills in the NFL.
  • C. Armandus
    Armandus is a masculine given name, a Latinized variant of Armand, historically associated with European, particularly French and Dutch, usage.
  • D. Andreas
    Andreas is a masculine given name of Greek origin, commonly used in various European and international cultures.
  • E. Andreas
    Andreas is a village on the Isle of Man, known for its rural character and historic parish church.
  • 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: Andred
Triple: [Leela, loveInterest, Andred]
Generated description
Andred is a Gallifreyan guard from the classic Doctor Who series who becomes romantically involved with the Time Lady companion Leela.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Andred
Target entity description: Andred is a Gallifreyan guard from the classic Doctor Who series who becomes romantically involved with the Time Lady companion Leela.
  • A. Andru
    Andru is a diminutive form of the given name Andrei, typically used as an affectionate or informal nickname.
  • B. Andre
    Andre is the given name of Andre Reed, a former American football wide receiver best known for his long career with the Buffalo Bills in the NFL.
  • C. Armandus
    Armandus is a masculine given name, a Latinized variant of Armand, historically associated with European, particularly French and Dutch, usage.
  • D. Andreas
    Andreas is a village on the Isle of Man, known for its rural character and historic parish church.
  • E. Andreas
    Andreas is a masculine given name of Greek origin, commonly used in various European and international cultures.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6210213481908fac6893e8a9f143 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd28101e1881909f7a6c0cc762204c completed May 8, 2026, 12:02 a.m.
NEDg Description generation batch_69fd2b3ae0c0819089bdc277d66b20ae completed May 8, 2026, 12:15 a.m.
NED2 Entity disambiguation (via description) batch_69fd2f51a2cc81908b222a1830e2c8e4 completed May 8, 2026, 12:33 a.m.
Created at: April 10, 2026, 1:06 a.m.