Triple

T3819768
Position Surface form Disambiguated ID Type / Status
Subject Harrison Ford E84343 entity
Predicate notableWork P4 FINISHED
Object Regarding Henry
Regarding Henry is a 1991 drama film in which Harrison Ford plays a ruthless lawyer who must rebuild his life and relationships after a traumatic brain injury.
E390594 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: Regarding Henry | Statement: [Harrison Ford, notableWork, Regarding Henry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Regarding Henry
Context triple: [Harrison Ford, notableWork, Regarding Henry]
  • A. Henry
    Henry is the given name of Henry A. Kissinger, the influential American diplomat and political scientist who served as U.S. Secretary of State and National Security Advisor.
  • B. Henry
    Henry is the given name of the influential American architect Henry Hobson Richardson, a key figure in 19th-century architecture.
  • C. Henry
    Henry is a common English surname borne by numerous notable individuals across politics, sports, and the arts.
  • D. Henry
    Henry is a masculine given name of Germanic origin that has been widely used by European royalty and notable historical figures.
  • E. Henry
    Henry is the given first name of Hank Steinbrenner, a late co-owner and general partner of the New York Yankees baseball team.
  • 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: Regarding Henry
Triple: [Harrison Ford, notableWork, Regarding Henry]
Generated description
Regarding Henry is a 1991 drama film in which Harrison Ford plays a ruthless lawyer who must rebuild his life and relationships after a traumatic brain injury.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Regarding Henry
Target entity description: Regarding Henry is a 1991 drama film in which Harrison Ford plays a ruthless lawyer who must rebuild his life and relationships after a traumatic brain injury.
  • A. Henry
    Henry is the given name of Henry A. Kissinger, the influential American diplomat and political scientist who served as U.S. Secretary of State and National Security Advisor.
  • B. Henry
    Henry is the given name of the influential American architect Henry Hobson Richardson, a key figure in 19th-century architecture.
  • C. Henry
    Henry is a common English surname borne by numerous notable individuals across politics, sports, and the arts.
  • D. Henry
    Henry is a masculine given name of Germanic origin that has been widely used by European royalty and notable historical figures.
  • E. Henry
    Henry is the given first name of Hank Steinbrenner, a late co-owner and general partner of the New York Yankees baseball team.
  • 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_69aed931f5908190be2c07af66d4df25 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeea601d408190b09dc486e77488d4 completed March 9, 2026, 3:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb466a108190ac203ee00ce58f04 completed March 14, 2026, 6:08 a.m.
NEDg Description generation batch_69b4fc08d65081908953482b10fa5611 completed March 14, 2026, 6:11 a.m.
NED2 Entity disambiguation (via description) batch_69b4fc7d8cf081909c4447818b5363c5 completed March 14, 2026, 6:13 a.m.
Created at: March 9, 2026, 3:17 p.m.