Triple

T396130
Position Surface form Disambiguated ID Type / Status
Subject Hoyte van Hoytema E8986 entity
Predicate knownFor P22 FINISHED
Object Her
Her is a 2013 science-fiction romantic drama film directed by Spike Jonze that explores a man's emotional relationship with an advanced artificial intelligence operating system.
 E50437 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: Her | Statement: [Hoyte van Hoytema, knownFor, Her]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Her
Context triple: [Hoyte van Hoytema, knownFor, Her]
  • A. Jane
    Jane is a feminine given name of English origin that has been widely used in many English-speaking countries for centuries.
  • B. Lady
    "Lady" is a 1980 country-pop love ballad by Kenny Rogers, written and produced by Lionel Richie, that became one of Rogers' signature hits.
  • C. Herm
    Herm is a small, privately owned island in the English Channel known for its unspoiled beaches, car-free environment, and status as part of the Bailiwick of Guernsey.
  • D. Hilda
    Hilda is the middle name of Margaret Thatcher, the former Prime Minister of the United Kingdom.
  • E. Joanna
    Joanna is the first name of Joanna Newsom, an American harpist, singer-songwriter, and musician known for her intricate compositions and distinctive vocal style.
  • 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: Her
Triple: [Hoyte van Hoytema, knownFor, Her]
Generated description
Her is a 2013 science-fiction romantic drama film directed by Spike Jonze that explores a man's emotional relationship with an advanced artificial intelligence operating system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Her
Target entity description: Her is a 2013 science-fiction romantic drama film directed by Spike Jonze that explores a man's emotional relationship with an advanced artificial intelligence operating system.
  • A. Jane
    Jane is a feminine given name of English origin that has been widely used in many English-speaking countries for centuries.
  • B. Lady
    "Lady" is a 1980 country-pop love ballad by Kenny Rogers, written and produced by Lionel Richie, that became one of Rogers' signature hits.
  • C. Herm
    Herm is a small, privately owned island in the English Channel known for its unspoiled beaches, car-free environment, and status as part of the Bailiwick of Guernsey.
  • D. Hilda
    Hilda is the middle name of Margaret Thatcher, the former Prime Minister of the United Kingdom.
  • E. Joanna
    Joanna is the first name of Joanna Newsom, an American harpist, singer-songwriter, and musician known for her intricate compositions and distinctive vocal style.
  • 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_69a2e7f55c60819097aff65ea2ca2832 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec8a941081909a152fda0ce24a98 completed Feb. 28, 2026, 1:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a40ad7ebec8190a0a4ee16b20cea57 completed March 1, 2026, 9:46 a.m.
NEDg Description generation batch_69a40cc295e88190b4adb738b0ba8161 completed March 1, 2026, 9:54 a.m.
NED2 Entity disambiguation (via description) batch_69a40d4137c48190a00522b114096bd5 completed March 1, 2026, 9:56 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.