Triple

T33723587
Position Surface form Disambiguated ID Type / Status
Subject Nadia Hilker E864081 entity
Predicate portraysCharacterIn P198531 FINISHED
Object Luna in The 100
Luna in *The 100* is a compassionate and reluctant Nightblood leader of a peaceful Grounder clan who rejects the violent traditions of the Conclave.
 E2063305 NE FINISHED

How this triple was built (3 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: Luna in The 100 | Statement: [Nadia Hilker, portraysCharacterIn, Luna in The 100]
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: Luna in The 100
Triple: [Nadia Hilker, portraysCharacterIn, Luna in The 100]
Generated description
Luna in *The 100* is a compassionate and reluctant Nightblood leader of a peaceful Grounder clan who rejects the violent traditions of the Conclave.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: portraysCharacterIn
Context triple: [Nadia Hilker, portraysCharacterIn, Luna in The 100]
  • A. portraysCharacterInGenre
    Indicates that an entity depicts or plays a character within works belonging to a specified genre.
  • B. portrayedVia
    Indicates that one entity is represented, depicted, or expressed through a particular medium, method, or channel.
  • C. directorPortraysCharacter
    Indicates that a film director personally appears in a work portraying a specific character.
  • D. portraysActorAs
    Indicates that one entity depicts or represents an actor in a particular role, character, or manner.
  • E. portraysMainCharacter
    Indicates that one entity depicts or represents another entity as the primary or central character in a work or narrative.
  • F. None of above. chosen

Provenance (7 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_69f34989871c81908682e22a2fe4b829 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69fef112398081909237c3872345968b completed May 9, 2026, 8:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a363caf51808190973f40beaf09a6c0 completed June 20, 2026, 7:09 a.m.
NEDg Description generation batch_6a364231c17881908ce7a2c3753504ab completed June 20, 2026, 7:33 a.m.
NED2 Entity disambiguation (via description) batch_6a3642bc3dac8190a1302ea789bd716c completed June 20, 2026, 7:35 a.m.
PD Predicate disambiguation batch_69feefb14ec08190ab401987d8c84a23 completed May 9, 2026, 8:26 a.m.
PDg Predicate description generation batch_69fef1112b0c8190a8eb027edb71e4e0 completed May 9, 2026, 8:32 a.m.
Created at: May 1, 2026, 1:44 a.m.