Triple

T2008760
Position Surface form Disambiguated ID Type / Status
Subject Mary Louise Streep E43643 entity
Predicate hasGivenName P17 FINISHED
Object Meryl
Meryl is the given name of American actress Mary Louise "Meryl" Streep, widely regarded as one of the greatest film actors of her generation.
 E229603 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: Meryl | Statement: [Mary Louise Streep, hasGivenName, Meryl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Meryl
Context triple: [Mary Louise Streep, hasGivenName, Meryl]
  • A. Vivien
    Vivien is a famous Pre-Raphaelite painting by Frederic Sandys depicting the Arthurian enchantress often associated with Merlin.
  • B. Marlene
    Marlene is a German biographical film directed by Joseph Vilsmaier about the life and career of actress and singer Marlene Dietrich.
  • C. Diane
    Diane is a feminine given name of Latin origin, derived from the name of the Roman goddess Diana.
  • D. Doris
    Doris is an Oceanid from Greek mythology, known as the wife of the sea god Nereus and mother of the Nereids.
  • E. Doris
    Doris was the first wife of Herod the Great and the mother of his son Antipater in the Herodian royal family.
  • 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: Meryl
Triple: [Mary Louise Streep, hasGivenName, Meryl]
Generated description
Meryl is the given name of American actress Mary Louise "Meryl" Streep, widely regarded as one of the greatest film actors of her generation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Meryl
Target entity description: Meryl is the given name of American actress Mary Louise "Meryl" Streep, widely regarded as one of the greatest film actors of her generation.
  • A. Vivien
    Vivien is a famous Pre-Raphaelite painting by Frederic Sandys depicting the Arthurian enchantress often associated with Merlin.
  • B. Marlene
    Marlene is a German biographical film directed by Joseph Vilsmaier about the life and career of actress and singer Marlene Dietrich.
  • C. Diane
    Diane is a feminine given name of Latin origin, derived from the name of the Roman goddess Diana.
  • D. Doris
    Doris was the first wife of Herod the Great and the mother of his son Antipater in the Herodian royal family.
  • E. Doris
    Doris is an Oceanid from Greek mythology, known as the wife of the sea god Nereus and mother of the Nereids.
  • 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb89be08c81909eb5ea672ea46b2b completed March 7, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1fe3480c8190add171121653fc8a completed March 9, 2026, 1:18 a.m.
NEDg Description generation batch_69ae2092c3ac8190b2f1f3e9c980f40a completed March 9, 2026, 1:21 a.m.
NED2 Entity disambiguation (via description) batch_69ae21c757c88190a151e01ee0825d85 completed March 9, 2026, 1:26 a.m.
Created at: March 4, 2026, 7:37 p.m.