Triple

T17747571
Position Surface form Disambiguated ID Type / Status
Subject Victor E443026 entity
Predicate loyalTo P1201 FINISHED
Object Echo
Echo is a character or group that serves as the primary allegiance and cause for Victor, around which his loyalty and actions are centered.
E1289602 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: Echo | Statement: [Victor, loyalTo, Echo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Echo
Context triple: [Victor, loyalTo, Echo]
  • A. Echo
    Echo is one of the official mascots of the Salt Lake 2002 Winter Olympics, represented as a coyote symbolizing the American West and the spirit of the Games.
  • B. Echo
    Echo is the 1999 studio album by Tom Petty and the Heartbreakers, noted for its reflective tone and themes of loss and recovery.
  • C. Echo
    "Echo" is a collaborative hip-hop track by the rap duo Bad Meets Evil, showcasing their rapid-fire lyricism and intricate wordplay.
  • D. Echo
    Echo is a song by American singer Ciara from her third studio album, Fantasy Ride.
  • E. Echo
    Echo is a minor mythological nymph character who appears in Richard Strauss’s opera "Ariadne auf Naxos," typically serving in an ensemble of attendant nymphs.
  • 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: Echo
Triple: [Victor, loyalTo, Echo]
Generated description
Echo is a character or group that serves as the primary allegiance and cause for Victor, around which his loyalty and actions are centered.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Echo
Target entity description: Echo is a character or group that serves as the primary allegiance and cause for Victor, around which his loyalty and actions are centered.
  • A. Echo
    Echo is a central "Active" character in the TV series *Dollhouse*, a programmable operative whose evolving self-awareness drives much of the show's narrative.
  • B. Echo
    Echo is a mountain nymph from Greek mythology best known for being cursed to only repeat others’ words and for her unrequited love for Narcissus.
  • C. Echo
    Echo is a Marvel Comics character, Maya Lopez, a deaf Native American martial artist known for her photographic reflexes and close association with Daredevil and the Avengers.
  • D. Echo
    Echo is a clone trooper in the Star Wars universe who evolves from a by-the-book soldier of the Domino Squad into a cybernetically enhanced member of the Bad Batch.
  • E. Echo
    Echo is a minor mythological nymph character who appears in Richard Strauss’s opera "Ariadne auf Naxos," typically serving in an ensemble of attendant nymphs.
  • 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47ad33160819093c9bbd3c8957314 completed April 19, 2026, 6:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02ff51215881909a1fd82d7ed3e351 completed May 12, 2026, 10:22 a.m.
NEDg Description generation batch_6a03007f298881908743c16e17bd5877 completed May 12, 2026, 10:27 a.m.
NED2 Entity disambiguation (via description) batch_6a03014a86308190b8f68fa279298575 completed May 12, 2026, 10:30 a.m.
Created at: April 10, 2026, 10:10 a.m.