Triple

T4663058
Position Surface form Disambiguated ID Type / Status
Subject Amber Heard E102779 entity
Predicate familyName P18 FINISHED
Object Heard
Heard is an American actress known for roles in films like "Aquaman" and for her highly publicized legal disputes with Johnny Depp.
 E458627 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: Heard | Statement: [Amber Heard, familyName, Heard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Heard
Context triple: [Amber Heard, familyName, Heard]
  • A. The Sound
    The Sound is the strait between Denmark and Sweden that connects the Baltic Sea to the Kattegat and is one of the world's busiest waterways.
  • B. Heard series
    The Heard series is a collection of works by Australian musician and writer Nick Cave, reflecting his distinctive dark, narrative-driven artistic style.
  • C. The Sound of Seas
    The Sound of Seas is a literary work authored by Gillian Anderson, best known as the star of The X-Files.
  • D. The Island
    The Island is a 1979 thriller novel by Peter Benchley that follows a journalist who uncovers a hidden community of modern-day pirates in the Caribbean.
  • E. The Island
    The Island is a 2005 science fiction thriller film directed by Michael Bay that explores themes of human cloning, identity, and corporate ethics.
  • 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: Heard
Triple: [Amber Heard, familyName, Heard]
Generated description
Heard is an American actress known for roles in films like "Aquaman" and for her highly publicized legal disputes with Johnny Depp.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Heard
Target entity description: Heard is an American actress known for roles in films like "Aquaman" and for her highly publicized legal disputes with Johnny Depp.
  • A. The Sound
    The Sound is the strait between Denmark and Sweden that connects the Baltic Sea to the Kattegat and is one of the world's busiest waterways.
  • B. Heard series
    The Heard series is a collection of works by Australian musician and writer Nick Cave, reflecting his distinctive dark, narrative-driven artistic style.
  • C. The Sound of Seas
    The Sound of Seas is a literary work authored by Gillian Anderson, best known as the star of The X-Files.
  • D. The Island
    The Island is a 1979 thriller novel by Peter Benchley that follows a journalist who uncovers a hidden community of modern-day pirates in the Caribbean.
  • E. The Island
    The Island is a 2005 science fiction thriller film directed by Michael Bay that explores themes of human cloning, identity, and corporate ethics.
  • 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_69bd43d9cba4819086c1ab1c2d9d2133 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd632d6150819085bab97021c0235a completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfafcd3908190aabf7975017ce337 completed March 21, 2026, 1:57 a.m.
NEDg Description generation batch_69bdfc7b84108190af39c7780f702745 completed March 21, 2026, 2:03 a.m.
NED2 Entity disambiguation (via description) batch_69bdfd3856b48190a44f49da5fde38f6 completed March 21, 2026, 2:06 a.m.
Created at: March 20, 2026, 1:15 p.m.