Triple

T8469065
Position Surface form Disambiguated ID Type / Status
Subject Scenes from Goethe’s Faust E200235 entity
Predicate catalogueNumber P5531 FINISHED
Object WoO 3
WoO 3 is the catalogue number assigned to Beethoven’s cantata "Scenes from Goethe’s Faust," identifying it among his works without opus number.
 E737636 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: WoO 3 | Statement: [Scenes from Goethe’s Faust, catalogueNumber, WoO 3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WoO 3
Context triple: [Scenes from Goethe’s Faust, catalogueNumber, WoO 3]
  • A. Wo!!
    Wo!! is a hit Nigerian street-hop single by rapper Olamide, known for its catchy beat, dance-inducing vibe, and massive popularity across Nigeria.
  • B. WoS
    WoS is a racing-themed video game centered on high-speed car competitions and online multiplayer gameplay.
  • C. Woo
    Woo is an alternative spelling of the Chinese surname "Wu," commonly borne by people of Chinese heritage around the world.
  • D. Woo
    "Woo" is a song from Erykah Badu's neo-soul album "Worldwide Underground," showcasing her signature blend of soulful vocals and experimental R&B production.
  • E. WPO
    WPO is the former stock ticker symbol for The Washington Post Company, the media conglomerate that owned The Washington Post newspaper before reorganizing as Graham Holdings Company.
  • 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: WoO 3
Triple: [Scenes from Goethe’s Faust, catalogueNumber, WoO 3]
Generated description
WoO 3 is the catalogue number assigned to Beethoven’s cantata "Scenes from Goethe’s Faust," identifying it among his works without opus number.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WoO 3
Target entity description: WoO 3 is the catalogue number assigned to Beethoven’s cantata "Scenes from Goethe’s Faust," identifying it among his works without opus number.
  • A. Wo!!
    Wo!! is a hit Nigerian street-hop single by rapper Olamide, known for its catchy beat, dance-inducing vibe, and massive popularity across Nigeria.
  • B. WoS
    WoS is a racing-themed video game centered on high-speed car competitions and online multiplayer gameplay.
  • C. Woo
    Woo is an alternative spelling of the Chinese surname "Wu," commonly borne by people of Chinese heritage around the world.
  • D. Woo
    "Woo" is a song from Erykah Badu's neo-soul album "Worldwide Underground," showcasing her signature blend of soulful vocals and experimental R&B production.
  • E. WPO
    WPO is the former stock ticker symbol for The Washington Post Company, the media conglomerate that owned The Washington Post newspaper before reorganizing as Graham Holdings Company.
  • 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_69ca831a4f348190bfdd09250e86ae35 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe4d5dd088190a79050417f527f14 completed March 31, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce39f45c3081908ea50810f0a386d6 completed April 2, 2026, 9:42 a.m.
NEDg Description generation batch_69ce3bd6c0c4819099f104c6dbfeef2c completed April 2, 2026, 9:50 a.m.
NED2 Entity disambiguation (via description) batch_69ce401c4e7081909a5b9fe0c0926114 completed April 2, 2026, 10:08 a.m.
Created at: March 30, 2026, 6:11 p.m.