Triple

T17346586
Position Surface form Disambiguated ID Type / Status
Subject Taking Rights Seriously E421702 entity
Predicate hasPart P35 FINISHED
Object Hard Cases NE ONDG

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: Hard Cases | Statement: [Taking Rights Seriously, hasPart, Hard Cases]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hard Cases
Context triple: [Taking Rights Seriously, hasPart, Hard Cases]
  • A. Pretty Hard Cases
    Pretty Hard Cases is a Canadian television dramedy series that follows two mismatched female detectives tackling major crimes while juggling their complicated personal lives.
  • B. Guilty as Charged
    Guilty as Charged is a 1991 dark comedy film about a vigilante who kidnaps and executes criminals, featuring Caleb James Goddard in its cast.
  • C. Caso
    Caso is a Spanish-language surname borne by various notable individuals, including Mexican archaeologist and anthropologist Alfonso Caso.
  • D. Cold Case
    Cold Case is an American police procedural television series that follows a team of detectives who investigate and solve long-unsolved murders using modern forensic techniques and fresh witness interviews.
  • E. Case Black
    Case Black was a major World War II Axis offensive in 1943 aimed at crushing the Yugoslav Partisan resistance movement.
  • 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: Hard Cases
Triple: [Taking Rights Seriously, hasPart, Hard Cases]
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hard Cases
Target entity description: Hard Cases is a chapter in Ronald Dworkin’s influential legal philosophy book "Taking Rights Seriously," where he develops his theory of judicial decision-making in difficult or borderline legal disputes.
  • A. Pretty Hard Cases
    Pretty Hard Cases is a Canadian television dramedy series that follows two mismatched female detectives tackling major crimes while juggling their complicated personal lives.
  • B. Guilty as Charged
    Guilty as Charged is a 1991 dark comedy film about a vigilante who kidnaps and executes criminals, featuring Caleb James Goddard in its cast.
  • C. Caso
    Caso is a Spanish-language surname borne by various notable individuals, including Mexican archaeologist and anthropologist Alfonso Caso.
  • D. Cold Case
    Cold Case is an American police procedural television series that follows a team of detectives who investigate and solve long-unsolved murders using modern forensic techniques and fresh witness interviews.
  • E. Case Black
    Case Black was a major World War II Axis offensive in 1943 aimed at crushing the Yugoslav Partisan resistance movement.
  • F. None of above. chosen

Provenance (4 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a2923b48190a5d1abd3f535c59f completed April 19, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0195546198819085804ec0b5b18040 completed May 11, 2026, 8:37 a.m.
NEDg Description generation batch_6a01965807cc819088792a88b8a099d3 in_progress May 11, 2026, 8:42 a.m.
Created at: April 10, 2026, 5:44 a.m.