Triple

T12061300
Position Surface form Disambiguated ID Type / Status
Subject Iridaceae E287176 entity
Predicate namedAfter P63 FINISHED
Object Iris
Iris is a figure from Greek mythology, traditionally depicted as the personification of the rainbow and a messenger of the gods.
 E951235 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: Iris | Statement: [Iridaceae, namedAfter, Iris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Iris
Context triple: [Iridaceae, namedAfter, Iris]
  • A. Iris
    Iris is a 2001 British biographical drama film about the life and relationships of novelist and philosopher Iris Murdoch.
  • B. Iris
    "Iris" is a hit power ballad by the Goo Goo Dolls, best known for its prominent feature on the soundtrack of the film "City of Angels."
  • C. Iris
    Iris is a powerful, genetically engineered kaiju and one of Gamera’s most formidable adversaries in the Heisei-era Gamera film series.
  • D. Iris
    Iris is the underage prostitute whom Travis Bickle becomes obsessed with rescuing in Martin Scorsese’s film "Taxi Driver."
  • E. Iris
    Iris is an Italian verismo opera by Pietro Mascagni, first performed in 1898 and noted for its exotic Japanese setting and lush orchestration.
  • 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: Iris
Triple: [Iridaceae, namedAfter, Iris]
Generated description
Iris is a figure from Greek mythology, traditionally depicted as the personification of the rainbow and a messenger of the gods.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Iris
Target entity description: Iris is a figure from Greek mythology, traditionally depicted as the personification of the rainbow and a messenger of the gods.
  • A. Iris chosen
    Iris is the Greek goddess of the rainbow and a divine messenger of the gods, often depicted as a link between heaven and earth.
  • B. Iris
    Iris is a feminine given name used in various cultures, often associated with the Greek goddess of the rainbow and the iris flower.
  • C. Iris
    Iris is a powerful, genetically engineered kaiju and one of Gamera’s most formidable adversaries in the Heisei-era Gamera film series.
  • D. Iris
    Iris is a large and diverse genus of flowering plants known for its showy, often multicolored blooms and sword-shaped leaves, widely cultivated as ornamentals in gardens worldwide.
  • E. Iris
    Iris is a recurring character on the satirical sketch comedy series "Portlandia," known for embodying the show's quirky, offbeat humor.
  • F. None of above.

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_69d6ab4846e081908ee7bbd66a6d3459 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9043f82248190b05692aa0dc178a8 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a64c8bc8190920c1ed858ea4794 completed May 2, 2026, 2:29 p.m.
NEDg Description generation batch_69f60bda16e48190af8abc0aa8ef41f0 completed May 2, 2026, 2:36 p.m.
NED2 Entity disambiguation (via description) batch_69f60cd1668881908f43d895fcfba0aa completed May 2, 2026, 2:40 p.m.
Created at: April 8, 2026, 9:48 p.m.