Triple

T592046
Position Surface form Disambiguated ID Type / Status
Subject Harvard Educational Review E17294 entity
Predicate hasAbbreviation P43 FINISHED
Object HER
HER is the commonly used abbreviation for the Harvard Educational Review, a scholarly journal focused on education research and policy.
 E74108 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: [Harvard Educational Review, hasAbbreviation, HER]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HER
Context triple: [Harvard Educational Review, hasAbbreviation, HER]
  • A. 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.
  • B. HES
    HES is the commonly used abbreviation for Historic Environment Scotland, the public body responsible for protecting and promoting Scotland’s historic environment.
  • C. HM
    HM is an abbreviation commonly used as a formal title for a reigning queen or king, standing for "Her Majesty" or "His Majesty."
  • D. Hor
    Hor is an abbreviated form of the name Horace, often used as a short or familiar version of it.
  • E. Hel
    Hel is the Norse goddess who rules over the underworld realm of the dead that bears her name.
  • 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: [Harvard Educational Review, hasAbbreviation, HER]
Generated description
HER is the commonly used abbreviation for the Harvard Educational Review, a scholarly journal focused on education research and policy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HER
Target entity description: HER is the commonly used abbreviation for the Harvard Educational Review, a scholarly journal focused on education research and policy.
  • A. 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.
  • B. HES
    HES is the commonly used abbreviation for Historic Environment Scotland, the public body responsible for protecting and promoting Scotland’s historic environment.
  • C. HM
    HM is an abbreviation commonly used as a formal title for a reigning queen or king, standing for "Her Majesty" or "His Majesty."
  • D. Hor
    Hor is an abbreviated form of the name Horace, often used as a short or familiar version of it.
  • E. Hel
    Hel is the Norse goddess who rules over the underworld realm of the dead that bears her name.
  • 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_69a49379d09c8190ac7e00b24e2810b1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49bbaf53081908eed240bed09f63b completed March 1, 2026, 8:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69a51554857481909c684b86b51aa126 completed March 2, 2026, 4:43 a.m.
NEDg Description generation batch_69a5163b240881909672bf4bc2ebe9cf completed March 2, 2026, 4:46 a.m.
NED2 Entity disambiguation (via description) batch_69a516a1e6508190a7ecb801f5080ddd completed March 2, 2026, 4:48 a.m.
Created at: March 1, 2026, 7:33 p.m.