Triple

T2911171
Position Surface form Disambiguated ID Type / Status
Subject Slade (Teen Titans) E63684 entity
Predicate manipulates P1554 FINISHED
Object Terra (Teen Titans)
Terra is a troubled, earth-controlling teen superheroine from Teen Titans whose unstable powers and conflicted loyalties make her one of the series’ most tragic and complex characters.
 E308903 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: Terra (Teen Titans) | Statement: [Slade (Teen Titans), manipulates, Terra (Teen Titans)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Terra (Teen Titans)
Context triple: [Slade (Teen Titans), manipulates, Terra (Teen Titans)]
  • A. Bantam Starfire
    Bantam Starfire is a young adult fiction imprint of Bantam Books known for publishing teen-oriented novels and series.
  • B. Tessa
    Tessa is a feminine given name commonly used in English-speaking countries, often as a diminutive of Theresa or Therese.
  • C. Tia
    Tia is a feminine given name, often used as a short form of longer names such as Timothea.
  • D. Teressa
    Teressa is a Nicobarese language variety spoken by the indigenous community on Teressa Island in India’s Nicobar archipelago.
  • E. Tamsin
    Tamsin is a feminine given name of English origin, often associated with actresses and public figures such as Tamsin Egerton.
  • 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: Terra (Teen Titans)
Triple: [Slade (Teen Titans), manipulates, Terra (Teen Titans)]
Generated description
Terra is a troubled, earth-controlling teen superheroine from Teen Titans whose unstable powers and conflicted loyalties make her one of the series’ most tragic and complex characters.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Terra (Teen Titans)
Target entity description: Terra is a troubled, earth-controlling teen superheroine from Teen Titans whose unstable powers and conflicted loyalties make her one of the series’ most tragic and complex characters.
  • A. Bantam Starfire
    Bantam Starfire is a young adult fiction imprint of Bantam Books known for publishing teen-oriented novels and series.
  • B. Tessa
    Tessa is a feminine given name commonly used in English-speaking countries, often as a diminutive of Theresa or Therese.
  • C. Tia
    Tia is a feminine given name, often used as a short form of longer names such as Timothea.
  • D. Teressa
    Teressa is a Nicobarese language variety spoken by the indigenous community on Teressa Island in India’s Nicobar archipelago.
  • E. Tamsin
    Tamsin is a feminine given name of English origin, often associated with actresses and public figures such as Tamsin Egerton.
  • 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_69ab4c44ab448190b9411324e8a1fc1d completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe0ea0ae4819096f17d74072b0b78 completed March 7, 2026, 8:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0562014fc8190b7b702fa40682382 completed March 10, 2026, 5:34 p.m.
NEDg Description generation batch_69b05f7e78e8819095185f170ca26bda completed March 10, 2026, 6:14 p.m.
NED2 Entity disambiguation (via description) batch_69b0617a21a881909a0f52268a2494a6 completed March 10, 2026, 6:22 p.m.
Created at: March 6, 2026, 10:11 p.m.