Triple

T671558
Position Surface form Disambiguated ID Type / Status
Subject Gallifrey E12981 entity
Predicate inhabitant P6481 FINISHED
Object Shobogan
The Shobogan are a lesser-known indigenous people of Gallifrey in the Doctor Who universe, often portrayed as non-Time Lord Gallifreyans living outside the elite Time Lord society.
 E101117 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: Shobogan | Statement: [Gallifrey, inhabitant, Shobogan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shobogan
Context triple: [Gallifrey, inhabitant, Shobogan]
  • A. Sibi
    Sibi is a historic town and district in the Balochistan region of Pakistan, known for its hot climate and traditional annual cattle and horse fair.
  • B. Potohari
    Potohari is an Indo-Aryan language variety spoken in the Potohar Plateau region of northern Pakistan, including areas around Islamabad and Rawalpindi.
  • C. Sachkhere
    Sachkhere is a town in western Georgia known as a local administrative and economic center in the Imereti region.
  • D. Ranna
    Ranna was a prominent 10th-century Kannada poet, celebrated as one of the “three gems” of early Kannada literature for his influential epic and courtly works.
  • E. Kareli
    Kareli is a town in central Georgia that serves as an important local center within the Shida Kartli region.
  • 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: Shobogan
Triple: [Gallifrey, inhabitant, Shobogan]
Generated description
The Shobogan are a lesser-known indigenous people of Gallifrey in the Doctor Who universe, often portrayed as non-Time Lord Gallifreyans living outside the elite Time Lord society.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shobogan
Target entity description: The Shobogan are a lesser-known indigenous people of Gallifrey in the Doctor Who universe, often portrayed as non-Time Lord Gallifreyans living outside the elite Time Lord society.
  • A. Sibi
    Sibi is a historic town and district in the Balochistan region of Pakistan, known for its hot climate and traditional annual cattle and horse fair.
  • B. Potohari
    Potohari is an Indo-Aryan language variety spoken in the Potohar Plateau region of northern Pakistan, including areas around Islamabad and Rawalpindi.
  • C. Sachkhere
    Sachkhere is a town in western Georgia known as a local administrative and economic center in the Imereti region.
  • D. Ranna
    Ranna was a prominent 10th-century Kannada poet, celebrated as one of the “three gems” of early Kannada literature for his influential epic and courtly works.
  • E. Kareli
    Kareli is a town in central Georgia that serves as an important local center within the Shida Kartli region.
  • 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_69a493355dec819098d4244b2fa34885 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a518e6348190b467c2fab3fd1f11 completed March 1, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3a6bcf88190aff5bd3db264f475 completed March 4, 2026, 3:14 a.m.
NEDg Description generation batch_69a7a587591c81909b05e00ef5c3d896 completed March 4, 2026, 3:22 a.m.
NED2 Entity disambiguation (via description) batch_69a7a609da188190827eb7deddcca47b completed March 4, 2026, 3:24 a.m.
Created at: March 1, 2026, 7:36 p.m.