Triple

T8458745
Position Surface form Disambiguated ID Type / Status
Subject Emily Thorne E199986 entity
Predicate alsoKnownAs P39 FINISHED
Object Amanda
Amanda is the assumed identity of the main character Emily Thorne in the television series "Revenge."
 E735267 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: Amanda | Statement: [Emily Thorne, alsoKnownAs, Amanda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Amanda
Context triple: [Emily Thorne, alsoKnownAs, Amanda]
  • A. Amanda
    Amanda is the central character of the work "The Relapse," around whom the main events and conflicts of the story revolve.
  • B. Amanda
    Amanda is a feminine given name of Latin origin, meaning "worthy of love" or "lovable."
  • C. Amanda
    Amanda is a central character in Margaret Atwood’s dystopian MaddAddam trilogy, known for her resilience and survival skills in a post-apocalyptic world.
  • D. Amanda
    Amanda is the central protagonist of the action-thriller film "Into the Blue," around whom the underwater treasure-hunting adventure revolves.
  • E. Amanda
    "Amanda" is a song by the American punk rock band Green Day from their album ¡Tré!.
  • 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: Amanda
Triple: [Emily Thorne, alsoKnownAs, Amanda]
Generated description
Amanda is the assumed identity of the main character Emily Thorne in the television series "Revenge."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Amanda
Target entity description: Amanda is the assumed identity of the main character Emily Thorne in the television series "Revenge."
  • A. Amanda
    Amanda is the central character of the work "The Relapse," around whom the main events and conflicts of the story revolve.
  • B. Amanda
    Amanda is a central character in Margaret Atwood’s dystopian MaddAddam trilogy, known for her resilience and survival skills in a post-apocalyptic world.
  • C. Amanda
    "Amanda" is a song by the American punk rock band Green Day from their album ¡Tré!.
  • D. Amanda
    Amanda is a feminine given name of Latin origin, meaning "worthy of love" or "lovable."
  • E. Amanda
    Amanda is the central protagonist of the action-thriller film "Into the Blue," around whom the underwater treasure-hunting adventure revolves.
  • 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_69ca83198c4c8190a337bf717d1813f5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe49e036c8190abb50ca272266ca6 completed March 31, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1dea01c481909496ebfca4e9916e completed April 2, 2026, 7:42 a.m.
NEDg Description generation batch_69ce20130e9c81908c13e571ca8a6ad4 completed April 2, 2026, 7:51 a.m.
NED2 Entity disambiguation (via description) batch_69ce209338b48190ba8375200a5529bd completed April 2, 2026, 7:53 a.m.
Created at: March 30, 2026, 6:10 p.m.