Triple

T1322892
Position Surface form Disambiguated ID Type / Status
Subject The Clairvoyant E28258 entity
Predicate character P662 FINISHED
Object Christine
Christine is a character from the Marvel Cinematic Universe film "Iron Man 3," where she appears as the clairvoyant antagonist manipulating events from behind the scenes.
 E150110 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: Christine | Statement: [The Clairvoyant, character, Christine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Christine
Context triple: [The Clairvoyant, character, Christine]
  • A. Christine
    Christine is the birth name of Chrissy Teigen, an American model, television personality, and cookbook author.
  • B. Christine
    Christine is the given name of Canadian soccer legend Christine Sinclair, one of the most prolific goal scorers in international football history.
  • C. Christine
    Christine is the protagonist of H. P. Lovecraft’s novel "Love," around whom the story’s emotional and psychological developments revolve.
  • D. Cecilia
    Cecilia is a feminine given name of Latin origin, traditionally associated with Saint Cecilia, the patron saint of music.
  • E. Charly
    Charly is a 1968 American drama film directed by Ralph Nelson, best known for Cliff Robertson’s Oscar-winning portrayal of a man with intellectual disabilities who undergoes an experimental intelligence-enhancing procedure.
  • 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: Christine
Triple: [The Clairvoyant, character, Christine]
Generated description
Christine is a character from the Marvel Cinematic Universe film "Iron Man 3," where she appears as the clairvoyant antagonist manipulating events from behind the scenes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Christine
Target entity description: Christine is a character from the Marvel Cinematic Universe film "Iron Man 3," where she appears as the clairvoyant antagonist manipulating events from behind the scenes.
  • A. Christine
    Christine is the birth name of Chrissy Teigen, an American model, television personality, and cookbook author.
  • B. Christine
    Christine is the given name of Canadian soccer legend Christine Sinclair, one of the most prolific goal scorers in international football history.
  • C. Christine
    Christine is the protagonist of H. P. Lovecraft’s novel "Love," around whom the story’s emotional and psychological developments revolve.
  • D. Cecilia
    Cecilia is a feminine given name of Latin origin, traditionally associated with Saint Cecilia, the patron saint of music.
  • E. Charly
    Charly is a 1968 American drama film directed by Ralph Nelson, best known for Cliff Robertson’s Oscar-winning portrayal of a man with intellectual disabilities who undergoes an experimental intelligence-enhancing procedure.
  • 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_69a498540a2481909e807a762280d3ba completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c19b76b48190aa8857b80971a842 completed March 1, 2026, 10:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbafabec08190a18c5fd23e2b833c completed March 7, 2026, 11:55 p.m.
NEDg Description generation batch_69acbb6b51608190a90f63b6fdd51690 completed March 7, 2026, 11:57 p.m.
NED2 Entity disambiguation (via description) batch_69acbbdbab04819087b42477acbbb5f4 completed March 7, 2026, 11:59 p.m.
Created at: March 1, 2026, 7:55 p.m.