Triple

T1208793
Position Surface form Disambiguated ID Type / Status
Subject After the Fall E25950 entity
Predicate hasCharacter P2308 FINISHED
Object Lou
Lou is a character from the virtual reality co-op shooter game "After the Fall," set in a post-apocalyptic, frozen Los Angeles overrun by mutated creatures.
 E139755 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: Lou | Statement: [After the Fall, hasCharacter, Lou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lou
Context triple: [After the Fall, hasCharacter, Lou]
  • A. Lou
    Lou is a common diminutive form of the given name Louise.
  • B. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • C. Larry
    Larry is the given name of Larry Bird, the legendary Hall of Fame Boston Celtics forward widely regarded as one of the greatest basketball players in NBA history.
  • D. Leo
    Leo is a zodiac constellation and astrological sign traditionally associated with the lion, symbolizing courage, leadership, and creativity.
  • E. Lewis
    "Lewis" is a notable film or television work featuring British actor Edward Fox, recognized as part of his distinguished acting career.
  • 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: Lou
Triple: [After the Fall, hasCharacter, Lou]
Generated description
Lou is a character from the virtual reality co-op shooter game "After the Fall," set in a post-apocalyptic, frozen Los Angeles overrun by mutated creatures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lou
Target entity description: Lou is a character from the virtual reality co-op shooter game "After the Fall," set in a post-apocalyptic, frozen Los Angeles overrun by mutated creatures.
  • A. Lou
    Lou is a common diminutive form of the given name Louise.
  • B. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • C. Larry
    Larry is the given name of Larry Bird, the legendary Hall of Fame Boston Celtics forward widely regarded as one of the greatest basketball players in NBA history.
  • D. Leo
    Leo is a zodiac constellation and astrological sign traditionally associated with the lion, symbolizing courage, leadership, and creativity.
  • E. Lewis
    "Lewis" is a notable film or television work featuring British actor Edward Fox, recognized as part of his distinguished acting career.
  • 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_69a4942b30f08190a91c60573e16b5ef completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bde30ce08190ab60a181ad2d321d completed March 1, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8319d0e88190977a4d434b209f11 completed March 7, 2026, 7:57 p.m.
NEDg Description generation batch_69ac838fc3d08190aa43d7f2767fe7d2 completed March 7, 2026, 7:59 p.m.
NED2 Entity disambiguation (via description) batch_69ac8425ab408190a25c0f5db40ae77f completed March 7, 2026, 8:01 p.m.
Created at: March 1, 2026, 7:46 p.m.