Triple

T13125445
Position Surface form Disambiguated ID Type / Status
Subject Emma Roberts E311832 entity
Predicate notableWork P4 FINISHED
Object Aquamarine
Aquamarine is a 2006 teen fantasy romantic comedy film about two best friends who discover a mermaid in a swimming pool.
 E1022362 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: Aquamarine | Statement: [Emma Roberts, notableWork, Aquamarine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aquamarine
Context triple: [Emma Roberts, notableWork, Aquamarine]
  • A. Aquamarine
    Aquamarine is a blue to blue-green variety of the mineral beryl, prized as a gemstone for its clear, sea-colored appearance.
  • B. Sapphire
    Sapphire is an American author best known for her novel "Push," which was adapted into the acclaimed film "Precious."
  • C. Sapphire
    Sapphire is a 1959 British crime drama film that explores racial tensions and prejudice in London through the investigation of a young woman's murder.
  • D. Sapphire
    Sapphire is a precious gemstone variety of the mineral corundum, typically blue, valued for its hardness, brilliance, and use in fine jewelry and industrial applications.
  • E. Emerald
    "Emerald" is a hard-driving, Celtic-influenced hard rock song by Thin Lizzy, best known as the closing track on their landmark 1976 album "Jailbreak."
  • 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: Aquamarine
Triple: [Emma Roberts, notableWork, Aquamarine]
Generated description
Aquamarine is a 2006 teen fantasy romantic comedy film about two best friends who discover a mermaid in a swimming pool.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aquamarine
Target entity description: Aquamarine is a 2006 teen fantasy romantic comedy film about two best friends who discover a mermaid in a swimming pool.
  • A. Aquamarine
    Aquamarine is a blue to blue-green variety of the mineral beryl, prized as a gemstone for its clear, sea-colored appearance.
  • B. Sapphire
    Sapphire is a 1959 British crime drama film that explores racial tensions and prejudice in London through the investigation of a young woman's murder.
  • C. Sapphire
    Sapphire is an American author best known for her novel "Push," which was adapted into the acclaimed film "Precious."
  • D. Sapphire
    Sapphire is a precious gemstone variety of the mineral corundum, typically blue, valued for its hardness, brilliance, and use in fine jewelry and industrial applications.
  • E. Emerald
    "Emerald" is a hard-driving, Celtic-influenced hard rock song by Thin Lizzy, best known as the closing track on their landmark 1976 album "Jailbreak."
  • 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9819946808190b41335fb1054accd completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e28bdd6881909d01e550e99267e1 completed May 3, 2026, 5:52 a.m.
NEDg Description generation batch_69f6e383dd8c8190872304c99b753152 completed May 3, 2026, 5:56 a.m.
NED2 Entity disambiguation (via description) batch_69f6e47b052c8190a6f6ca5a6bd210f5 completed May 3, 2026, 6 a.m.
Created at: April 9, 2026, 9:07 p.m.