Triple

T14023634
Position Surface form Disambiguated ID Type / Status
Subject Gyges E337398 entity
Predicate nameVariant P744 FINISHED
Object Guggu
Guggu is an alternative name or variant form of Gyges, the semi-legendary king of ancient Lydia known from Greek historical and mythological traditions.
 E1075236 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: Guggu | Statement: [Gyges, nameVariant, Guggu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Guggu
Context triple: [Gyges, nameVariant, Guggu]
  • A. Bholath
    Bholath is a small town in the Kapurthala district of the Indian state of Punjab, known primarily as a local administrative and market center for surrounding rural areas.
  • B. Guddu
    Guddu is a town in Pakistan best known for its proximity to the Guddu Barrage on the Indus River.
  • C. Bhanu
    Bhanu is a locality in the Indian state of Haryana known for hosting the Basic Training Centre, a key military training facility.
  • D. Baberu
    Baberu is a town and administrative center located in the Banda district of Uttar Pradesh, India.
  • E. Babla
    Babla is an individual known primarily as the spouse of Kanchan.
  • 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: Guggu
Triple: [Gyges, nameVariant, Guggu]
Generated description
Guggu is an alternative name or variant form of Gyges, the semi-legendary king of ancient Lydia known from Greek historical and mythological traditions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Guggu
Target entity description: Guggu is an alternative name or variant form of Gyges, the semi-legendary king of ancient Lydia known from Greek historical and mythological traditions.
  • A. Bholath
    Bholath is a small town in the Kapurthala district of the Indian state of Punjab, known primarily as a local administrative and market center for surrounding rural areas.
  • B. Guddu
    Guddu is a town in Pakistan best known for its proximity to the Guddu Barrage on the Indus River.
  • C. Bhanu
    Bhanu is a locality in the Indian state of Haryana known for hosting the Basic Training Centre, a key military training facility.
  • D. Baberu
    Baberu is a town and administrative center located in the Banda district of Uttar Pradesh, India.
  • E. Babla
    Babla is an influential chutney music artist known for helping popularize the genre through his energetic, Indo-Caribbean–inspired recordings and performances.
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2f3d87b88190b038d334f4965369 completed April 14, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc33170ec8190b0ffe41a567a590b completed May 6, 2026, 10:39 p.m.
NEDg Description generation batch_69fbc6d1048081908fb2e798cbc9902f completed May 6, 2026, 10:55 p.m.
NED2 Entity disambiguation (via description) batch_69fbc76610008190bd3c7f357666c8db completed May 6, 2026, 10:57 p.m.
Created at: April 9, 2026, 10:19 p.m.