Triple

T22873627
Position Surface form Disambiguated ID Type / Status
Subject Noor E567263 entity
Predicate mainCharacterAlias P39 FINISHED
Object AO
AO is an alternate identity or alias used by the character Noor, likely representing a distinct persona or role within their story.
E1558038 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: AO | Statement: [Noor, mainCharacterAlias, AO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AO
Context triple: [Noor, mainCharacterAlias, AO]
  • A. AO
    AO is the two-letter ISO 3166-1 alpha-2 country code representing Angola in international standards and systems.
  • B. AO
    AO is the commonly used abbreviation for the Administrative Office of the United States Courts, the federal agency that provides administrative support to the U.S. federal judiciary.
  • C. AO
    AO is the vehicle registration code used on license plates for vehicles registered in Italy’s Aosta Valley region.
  • D. AO
    AO is a UK-based online electricals retailer known for selling appliances and consumer electronics through its e-commerce platform and associated services.
  • E. AO
    AO is the regional vehicle registration code used on license plates for vehicles registered in the Khust area of Ukraine.
  • 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: AO
Triple: [Noor, mainCharacterAlias, AO]
Generated description
AO is an alternate identity or alias used by the character Noor, likely representing a distinct persona or role within their story.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: AO
Target entity description: AO is an alternate identity or alias used by the character Noor, likely representing a distinct persona or role within their story.
  • A. AO
    AO is an abbreviation for the Arctic Oscillation, a large-scale climate pattern characterized by opposing atmospheric pressure anomalies in the Arctic and mid-latitudes that strongly influences weather in the Northern Hemisphere.
  • B. AO
    AO is the post-nominal abbreviation used to denote an individual appointed as an Officer of the Order of Australia, one of the nation’s highest civilian honours.
  • C. AO
    AO is the commonly used abbreviation for the Administrative Office of the United States Courts, the federal agency that provides administrative support to the U.S. federal judiciary.
  • D. AO
    AO is the common abbreviation for Agent Orange, a highly toxic herbicide and defoliant used by the U.S. military during the Vietnam War that caused widespread environmental damage and severe health effects.
  • E. AO
    AO is a UK-based online electricals retailer known for selling appliances and consumer electronics through its e-commerce platform and associated services.
  • 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_69e24589d8348190b96422d13a678bc1 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17f56d6448190ada4aef08eac2bed completed April 29, 2026, 3:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bae98804c8190bb1102516426a0ba completed May 19, 2026, 12:28 a.m.
NEDg Description generation batch_6a0baef3b7ac8190a0f3df86c7751253 completed May 19, 2026, 12:29 a.m.
NED2 Entity disambiguation (via description) batch_6a0baf6c25d081908330d581e2fa49d4 completed May 19, 2026, 12:31 a.m.
Created at: April 17, 2026, 3:39 p.m.