Triple

T12912915
Position Surface form Disambiguated ID Type / Status
Subject Terra E308903 entity
Predicate fullName P16 FINISHED
Object Tara Markov
Tara Markov is a DC Comics character better known as Terra, a troubled teenage metahuman with powerful earth-manipulation abilities and a complex history with the Teen Titans.
E1010015 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: Tara Markov | Statement: [Terra, fullName, Tara Markov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tara Markov
Context triple: [Terra, fullName, Tara Markov]
  • A. Lyla Novacek
    Lyla Novacek is a gifted cellist and one of the central characters in the musical drama film "August Rush."
  • B. Makenzie Vega
    Makenzie Vega is an American actress best known for her role as Grace Florrick on the television legal drama "The Good Wife."
  • C. Satyana Marie Denisof
    Satyana Marie Denisof is the daughter of American actress Alyson Hannigan and actor Alexis Denisof.
  • D. Sasha Maggart
    Sasha Maggart is the daughter of American actor and musician Brandon Maggart.
  • E. Sasha Valentine
    Sasha Valentine is a fictional character from the British soap opera "Hollyoaks," known for her dramatic storylines involving family conflict, relationships, and personal struggles.
  • 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: Tara Markov
Triple: [Terra, fullName, Tara Markov]
Generated description
Tara Markov is a DC Comics character better known as Terra, a troubled teenage metahuman with powerful earth-manipulation abilities and a complex history with the Teen Titans.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tara Markov
Target entity description: Tara Markov is a DC Comics character better known as Terra, a troubled teenage metahuman with powerful earth-manipulation abilities and a complex history with the Teen Titans.
  • A. Lyla Novacek
    Lyla Novacek is a gifted cellist and one of the central characters in the musical drama film "August Rush."
  • B. Makenzie Vega
    Makenzie Vega is an American actress best known for her role as Grace Florrick on the television legal drama "The Good Wife."
  • C. Satyana Marie Denisof
    Satyana Marie Denisof is the daughter of American actress Alyson Hannigan and actor Alexis Denisof.
  • D. Sasha Maggart
    Sasha Maggart is the daughter of American actor and musician Brandon Maggart.
  • E. Sasha Valentine
    Sasha Valentine is a fictional character from the British soap opera "Hollyoaks," known for her dramatic storylines involving family conflict, relationships, and personal struggles.
  • 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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9719f96248190b746f9d4a468560c completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a56ea03c819093a5b8657e27768e completed May 3, 2026, 1:31 a.m.
NEDg Description generation batch_69f6a68978008190a9d8695b09a8cb3a completed May 3, 2026, 1:36 a.m.
NED2 Entity disambiguation (via description) batch_69f6a8a31264819082c1ce67eaa529cc completed May 3, 2026, 1:45 a.m.
Created at: April 9, 2026, 5:41 p.m.