Triple

T14378947
Position Surface form Disambiguated ID Type / Status
Subject Alice Englert E356548 entity
Predicate hasRole P161 FINISHED
Object Mara
Mara is a character portrayed by actress Alice Englert, likely in a film or television production.
 E1096028 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: Mara | Statement: [Alice Englert, hasRole, Mara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mara
Context triple: [Alice Englert, hasRole, Mara]
  • A. Mara
    Mara is a surname of Irish origin borne by various notable individuals in fields such as sports, entertainment, and politics.
  • B. Mara
    Mara are an indigenous ethnic group of northeastern India and neighboring Myanmar, known for their distinct Tibeto-Burman language and cultural traditions.
  • C. Mara
    "Mara" is a dark, atmospheric track by experimental electronic producer The Haxan Cloak, known for its ominous sound design and immersive, cinematic mood.
  • D. Marella
    Marella is an Italian feminine given name, notably borne by Marella Agnelli, a prominent socialite, art collector, and style icon.
  • E. Ranni
    Ranni is a character appearing in Enid Blyton’s children’s adventure novel "The Circus of Adventure," where he plays a key role in the story’s circus-themed escapades.
  • 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: Mara
Triple: [Alice Englert, hasRole, Mara]
Generated description
Mara is a character portrayed by actress Alice Englert, likely in a film or television production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mara
Target entity description: Mara is a character portrayed by actress Alice Englert, likely in a film or television production.
  • A. Mara
    Mara is a surname of Irish origin borne by various notable individuals in fields such as sports, entertainment, and politics.
  • B. Mara
    Mara are an indigenous ethnic group of northeastern India and neighboring Myanmar, known for their distinct Tibeto-Burman language and cultural traditions.
  • C. Mara
    "Mara" is a dark, atmospheric track by experimental electronic producer The Haxan Cloak, known for its ominous sound design and immersive, cinematic mood.
  • D. Marella
    Marella is an Italian feminine given name, notably borne by Marella Agnelli, a prominent socialite, art collector, and style icon.
  • E. Ranni
    Ranni is a character appearing in Enid Blyton’s children’s adventure novel "The Circus of Adventure," where he plays a key role in the story’s circus-themed escapades.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de900a67e08190ab1dcf36e6bb3405 completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c5728fc819089ef3c7c34b10101 completed May 8, 2026, 2:37 a.m.
NEDg Description generation batch_69fd4e4bae188190a8d1c5b833d58cd8 completed May 8, 2026, 2:45 a.m.
NED2 Entity disambiguation (via description) batch_69fd4f5782b4819081d32dbef032ac61 completed May 8, 2026, 2:49 a.m.
Created at: April 10, 2026, 1:16 a.m.