Triple

T1676617
Position Surface form Disambiguated ID Type / Status
Subject Jennifer Garner E36244 entity
Predicate notableWork P4 FINISHED
Object Elektra
Elektra is a 2005 superhero film based on the Marvel Comics character, serving as a spin-off from the 2003 movie Daredevil.
 E189814 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: Elektra | Statement: [Jennifer Garner, notableWork, Elektra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Elektra
Context triple: [Jennifer Garner, notableWork, Elektra]
  • A. Electra
    Electra is a figure in Greek mythology, traditionally known as one of the Pleiades and a daughter of the Titan Atlas.
  • B. Delilah
    Delilah is a biblical figure best known for betraying Samson by discovering and revealing the secret of his strength.
  • C. Salome
    Salome is a biblical and historical figure best known for her dance before Herod Antipas that led to the beheading of John the Baptist.
  • D. Diana
    Diana is a feminine given name of Latin origin, famously borne by the Roman goddess of the hunt and by Diana, Princess of Wales.
  • E. Cecilia
    Cecilia is a feminine given name of Latin origin, traditionally associated with Saint Cecilia, the patron saint of music.
  • 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: Elektra
Triple: [Jennifer Garner, notableWork, Elektra]
Generated description
Elektra is a 2005 superhero film based on the Marvel Comics character, serving as a spin-off from the 2003 movie Daredevil.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Elektra
Target entity description: Elektra is a 2005 superhero film based on the Marvel Comics character, serving as a spin-off from the 2003 movie Daredevil.
  • A. Electra
    Electra is a figure in Greek mythology, traditionally known as one of the Pleiades and a daughter of the Titan Atlas.
  • B. Delilah
    Delilah is a biblical figure best known for betraying Samson by discovering and revealing the secret of his strength.
  • C. Salome
    Salome is a biblical and historical figure best known for her dance before Herod Antipas that led to the beheading of John the Baptist.
  • D. Diana
    Diana is a feminine given name of Latin origin, famously borne by the Roman goddess of the hunt and by Diana, Princess of Wales.
  • E. Cecilia
    Cecilia is a feminine given name of Latin origin, traditionally associated with Saint Cecilia, the patron saint of music.
  • 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_69a886139ed081909af0940aa9313512 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa625cb1a08190bf7b138c5bfb90b2 completed March 6, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad71b7c2608190bce1dc7469da4c45 completed March 8, 2026, 12:55 p.m.
NEDg Description generation batch_69ad72deafcc8190a2aef87277c5d731 completed March 8, 2026, 1 p.m.
NED2 Entity disambiguation (via description) batch_69ad734440ac81909cbcf1c02fd4bc66 completed March 8, 2026, 1:01 p.m.
Created at: March 4, 2026, 7:29 p.m.