Triple

T33506771
Position Surface form Disambiguated ID Type / Status
Subject Dear Wendy E858132 entity
Predicate hasGunClubName P102690 FINISHED
Object The Dandies
The Dandies is the name of the boys’ gun club formed in the Danish film "Dear Wendy," whose members obsess over firearms and ritualized violence.
 E2053030 NE FINISHED

How this triple was built (3 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: The Dandies | Statement: [Dear Wendy, hasGunClubName, The Dandies]
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: The Dandies
Triple: [Dear Wendy, hasGunClubName, The Dandies]
Generated description
The Dandies is the name of the boys’ gun club formed in the Danish film "Dear Wendy," whose members obsess over firearms and ritualized violence.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasGunClubName
Context triple: [Dear Wendy, hasGunClubName, The Dandies]
  • A. hasClubName chosen
    Indicates that an entity is associated with or identified by a specific club name.
  • B. hasClub
    Indicates that an entity is associated with or belongs to a particular club.
  • C. hasChamberName
    Indicates that an entity is associated with or identified by a specific chamber name.
  • D. hasKeyClub
    Indicates that an entity is associated with or belongs to a Key Club organization or group.
  • E. hasClanName
    Indicates that an entity bears or is associated with a particular clan name.
  • F. None of above.

Provenance (6 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_69f3497721848190978fbee5e0a526f8 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6e59fa4d88190b2934d2484cfaf8e completed May 3, 2026, 6:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3595c940188190a76b19f00cc5364d completed June 19, 2026, 7:17 p.m.
NEDg Description generation batch_6a359724ebd48190b7158f852f890b86 completed June 19, 2026, 7:23 p.m.
NED2 Entity disambiguation (via description) batch_6a3598177b708190ab4da13476634995 completed June 19, 2026, 7:27 p.m.
PD Predicate disambiguation batch_69f6e3db74c081909a991309d835d477 completed May 3, 2026, 5:57 a.m.
Created at: May 1, 2026, 1:38 a.m.