Triple

T16438322
Position Surface form Disambiguated ID Type / Status
Subject Kung Fu Records E399231 entity
Predicate releasedMusicFor P51851 FINISHED
Object Ozma
Ozma is an American rock band known for blending power pop melodies with indie and alternative rock influences, often drawing comparisons to early Weezer.
 E1214365 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: Ozma | Statement: [Kung Fu Records, releasedMusicFor, Ozma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ozma
Context triple: [Kung Fu Records, releasedMusicFor, Ozma]
  • A. Princess Ozma
    Princess Ozma is a fictional royal character from L. Frank Baum’s Oz book series, serving as the rightful ruler of the Land of Oz.
  • B. Ozma of Oz
    Ozma of Oz is the third book in L. Frank Baum’s Oz series, introducing Princess Ozma as a central character and following Dorothy’s adventures in the magical Land of Oz.
  • C. Glinda the Good Witch
    Glinda the Good Witch is a benevolent and powerful sorceress from L. Frank Baum’s Oz universe, best known for guiding Dorothy on her journey home.
  • D. OZ
    OZ is the IATA airline designator assigned to Asiana Airlines, a major South Korean carrier based in Seoul.
  • E. OZ
    OZ is a Swiss record producer and songwriter best known for crafting chart-topping hip-hop and trap hits for artists like Travis Scott and Drake.
  • 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: Ozma
Triple: [Kung Fu Records, releasedMusicFor, Ozma]
Generated description
Ozma is an American rock band known for blending power pop melodies with indie and alternative rock influences, often drawing comparisons to early Weezer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ozma
Target entity description: Ozma is an American rock band known for blending power pop melodies with indie and alternative rock influences, often drawing comparisons to early Weezer.
  • A. Princess Ozma
    Princess Ozma is a fictional royal character from L. Frank Baum’s Oz book series, serving as the rightful ruler of the Land of Oz.
  • B. Ozma of Oz
    Ozma of Oz is the third book in L. Frank Baum’s Oz series, introducing Princess Ozma as a central character and following Dorothy’s adventures in the magical Land of Oz.
  • C. Glinda the Good Witch
    Glinda the Good Witch is a benevolent and powerful sorceress from L. Frank Baum’s Oz universe, best known for guiding Dorothy on her journey home.
  • D. OZ
    OZ is the IATA airline designator assigned to Asiana Airlines, a major South Korean carrier based in Seoul.
  • E. OZ
    OZ is a Swiss record producer and songwriter best known for crafting chart-topping hip-hop and trap hits for artists like Travis Scott and Drake.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32ba5a4748190b63ff53bfb5957c7 completed April 18, 2026, 6:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00458b91bc8190b40af99faf5e74ab completed May 10, 2026, 8:44 a.m.
NEDg Description generation batch_6a00487c4b9081909188e9858626674a completed May 10, 2026, 8:57 a.m.
NED2 Entity disambiguation (via description) batch_6a0048e5175c81909d293bbf086b2f2e completed May 10, 2026, 8:59 a.m.
Created at: April 10, 2026, 5:10 a.m.