Triple

T12090280
Position Surface form Disambiguated ID Type / Status
Subject Into the Badlands E287922 entity
Predicate character P662 FINISHED
Object Tilda
Tilda is a skilled young fighter and former Regent in the post-apocalyptic martial-arts TV series "Into the Badlands," known for her moral conflict and rebellion against oppressive power.
 E962862 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: Tilda | Statement: [Into the Badlands, character, Tilda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tilda
Context triple: [Into the Badlands, character, Tilda]
  • A. Isadora
    Isadora is a 1968 biographical drama film starring Vanessa Redgrave as the pioneering modern dancer Isadora Duncan.
  • B. Phyllida
    Phyllida is a Scottish actress and author best known for her work in film, television, and theatre, as well as being the mother of actresses Emma and Sophie Thompson.
  • C. Carice
    Carice is a Dutch given name best known internationally through actress Carice van Houten.
  • D. Tamina
    The Tamina is a river in eastern Switzerland known for flowing through the deep Tamina Gorge before joining the Alpine Rhine.
  • E. Amblie
    Amblie is a small commune in the Calvados department of the Normandy region in northwestern France.
  • 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: Tilda
Triple: [Into the Badlands, character, Tilda]
Generated description
Tilda is a skilled young fighter and former Regent in the post-apocalyptic martial-arts TV series "Into the Badlands," known for her moral conflict and rebellion against oppressive power.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tilda
Target entity description: Tilda is a skilled young fighter and former Regent in the post-apocalyptic martial-arts TV series "Into the Badlands," known for her moral conflict and rebellion against oppressive power.
  • A. Isadora
    Isadora is a 1968 biographical drama film starring Vanessa Redgrave as the pioneering modern dancer Isadora Duncan.
  • B. Phyllida
    Phyllida is a Scottish actress and author best known for her work in film, television, and theatre, as well as being the mother of actresses Emma and Sophie Thompson.
  • C. Carice
    Carice is a Dutch given name best known internationally through actress Carice van Houten.
  • D. Tamina
    The Tamina is a river in eastern Switzerland known for flowing through the deep Tamina Gorge before joining the Alpine Rhine.
  • E. Amblie
    Amblie is a small commune in the Calvados department of the Normandy region in northwestern France.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915161f848190a6355c1e372eadaa completed April 10, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f66b2eb48190bae469d1dd82b119 completed May 2, 2026, 1:04 p.m.
NEDg Description generation batch_69f5fd79da748190b3f0dd7d7a46314d completed May 2, 2026, 1:34 p.m.
NED2 Entity disambiguation (via description) batch_69f5fef775508190ab3be470821c5a50 completed May 2, 2026, 1:41 p.m.
Created at: April 8, 2026, 9:48 p.m.