Triple

T14404235
Position Surface form Disambiguated ID Type / Status
Subject Lalla Ward E357154 entity
Predicate appearedIn P795 FINISHED
Object Shada
Shada is an unfinished but later partially reconstructed "Doctor Who" serial originally written by Douglas Adams for the Fourth Doctor era.
E1097519 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: Shada | Statement: [Lalla Ward, appearedIn, Shada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shada
Context triple: [Lalla Ward, appearedIn, Shada]
  • A. Syal
    Syal is the surname of Meera Syal, a prominent British-Indian comedian, writer, playwright, and actress known for her work in television, film, and literature.
  • B. Shazzer
    Shazzer is one of Bridget Jones’s outspoken, feminist best friends in the romantic comedy film "Bridget Jones: The Edge of Reason."
  • C. Shagbat
    Shagbat is an informal nickname for the Supermarine Walrus, a British World War II-era amphibious reconnaissance and air-sea rescue aircraft.
  • D. Shadix
    Shadix is the surname of American actor Glenn Shadix, best known for his character roles in film and television, including his performance in "Beetlejuice."
  • E. Zarniwoop
    Zarniwoop is a mysterious and manipulative executive from Douglas Adams’ "The Hitchhiker’s Guide to the Galaxy" series, involved in high-level bureaucratic schemes surrounding the Guide.
  • 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: Shada
Triple: [Lalla Ward, appearedIn, Shada]
Generated description
Shada is an unfinished but later partially reconstructed "Doctor Who" serial originally written by Douglas Adams for the Fourth Doctor era.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shada
Target entity description: Shada is an unfinished but later partially reconstructed "Doctor Who" serial originally written by Douglas Adams for the Fourth Doctor era.
  • A. Syal
    Syal is the surname of Meera Syal, a prominent British-Indian comedian, writer, playwright, and actress known for her work in television, film, and literature.
  • B. Shazzer
    Shazzer is one of Bridget Jones’s outspoken, feminist best friends in the romantic comedy film "Bridget Jones: The Edge of Reason."
  • C. Shagbat
    Shagbat is an informal nickname for the Supermarine Walrus, a British World War II-era amphibious reconnaissance and air-sea rescue aircraft.
  • D. Shadix
    Shadix is the surname of American actor Glenn Shadix, best known for his character roles in film and television, including his performance in "Beetlejuice."
  • E. Zarniwoop
    Zarniwoop is a mysterious and manipulative executive from Douglas Adams’ "The Hitchhiker’s Guide to the Galaxy" series, involved in high-level bureaucratic schemes surrounding the Guide.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90860ae481908e175decda8624d5 completed April 14, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5523267081908d972b60b6039528 completed May 8, 2026, 3:14 a.m.
NEDg Description generation batch_69fd5671e4688190ab1b7a7ed6c0cfb8 completed May 8, 2026, 3:20 a.m.
NED2 Entity disambiguation (via description) batch_69fd57710f648190a1344ac1363acce1 completed May 8, 2026, 3:24 a.m.
Created at: April 10, 2026, 1:17 a.m.