Triple

T2405495
Position Surface form Disambiguated ID Type / Status
Subject Christian Bale E50267 entity
Predicate spouse P13 FINISHED
Object Sibi Blazic
Sibi Blazic is an American former model, makeup artist, and stunt driver best known as the longtime wife of actor Christian Bale.
 E264222 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: Sibi Blazic | Statement: [Christian Bale, spouse, Sibi Blazic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sibi Blazic
Context triple: [Christian Bale, spouse, Sibi Blazic]
  • A. Saša
    Saša is a given name commonly used in Slavic countries, often as a diminutive of Aleksandar or Aleksandra.
  • B. Bojan Bazelli
    Bojan Bazelli is a renowned cinematographer known for his visually striking and atmospheric work on films such as "Spectral," "A Cure for Wellness," and collaborations with directors like Gore Verbinski.
  • C. Branko Zebec
    Branko Zebec was a renowned Yugoslav football player and manager, best known for his tactical discipline and successful coaching stints with top European clubs in the 1960s and 1970s.
  • D. Tanja Stomporowski
    Tanja Stomporowski is a German local politician who serves as the mayor of the town of Quakenbrück in Lower Saxony.
  • E. Nataša Kandić
    Nataša Kandić is a Serbian human rights activist known for documenting war crimes and advocating for justice and reconciliation in the former Yugoslavia.
  • 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: Sibi Blazic
Triple: [Christian Bale, spouse, Sibi Blazic]
Generated description
Sibi Blazic is an American former model, makeup artist, and stunt driver best known as the longtime wife of actor Christian Bale.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sibi Blazic
Target entity description: Sibi Blazic is an American former model, makeup artist, and stunt driver best known as the longtime wife of actor Christian Bale.
  • A. Saša
    Saša is a given name commonly used in Slavic countries, often as a diminutive of Aleksandar or Aleksandra.
  • B. Bojan Bazelli
    Bojan Bazelli is a renowned cinematographer known for his visually striking and atmospheric work on films such as "Spectral," "A Cure for Wellness," and collaborations with directors like Gore Verbinski.
  • C. Branko Zebec
    Branko Zebec was a renowned Yugoslav football player and manager, best known for his tactical discipline and successful coaching stints with top European clubs in the 1960s and 1970s.
  • D. Tanja Stomporowski
    Tanja Stomporowski is a German local politician who serves as the mayor of the town of Quakenbrück in Lower Saxony.
  • E. Nataša Kandić
    Nataša Kandić is a Serbian human rights activist known for documenting war crimes and advocating for justice and reconciliation in the former Yugoslavia.
  • 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_69a88b0339a88190a1207333cd271cc9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc8fb78408190b99fa8b4dfaaa75d completed March 7, 2026, 6:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3e95334819093923b0c36b968f2 completed March 9, 2026, 11:50 a.m.
NEDg Description generation batch_69aeb7b2d8f88190a12ce00000735fd6 completed March 9, 2026, 12:06 p.m.
NED2 Entity disambiguation (via description) batch_69aeb827504c8190bd458e79193d51cc completed March 9, 2026, 12:08 p.m.
Created at: March 4, 2026, 7:58 p.m.