Triple

T13776545
Position Surface form Disambiguated ID Type / Status
Subject Margaret Mara E331020 entity
Predicate hasSurname P18 FINISHED
Object Mara E65229 NE FINISHED

How this triple was built (2 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: [Margaret Mara, hasSurname, Mara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mara
Context triple: [Margaret Mara, hasSurname, Mara]
  • A. Mara
    "Mara" is a dark, atmospheric track by experimental electronic producer The Haxan Cloak, known for its ominous sound design and immersive, cinematic mood.
  • B. Mara chosen
    Mara is a surname of Irish origin borne by various notable individuals in fields such as sports, entertainment, and politics.
  • C. Mara
    Mara are an indigenous ethnic group of northeastern India and neighboring Myanmar, known for their distinct Tibeto-Burman language and cultural traditions.
  • 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.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0238bdbc8190a946e6e5431632a5 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a86c9ff88190a2e4f6aa907f2eba completed May 3, 2026, 7:56 p.m.
Created at: April 9, 2026, 10:10 p.m.