Triple

T10184492
Position Surface form Disambiguated ID Type / Status
Subject Pomes Penyeach E236872 entity
Predicate hasPart P35 FINISHED
Object Tilly
Tilly is one of the short stories included in James Joyce’s collection *Pomes Penyeach*.
 E847712 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: Tilly | Statement: [Pomes Penyeach, hasPart, Tilly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tilly
Context triple: [Pomes Penyeach, hasPart, Tilly]
  • A. Tilly
    Tilly is the commonly used name for Johann Tserclaes, Count of Tilly, a prominent general of the Catholic League during the early stages of the Thirty Years' War.
  • B. Lillete
    Lillete is an alcoholic beverage brand that forms part of Pernod Ricard’s global spirits and drinks portfolio.
  • C. Tilley
    Tilley is an English surname of Norman origin that has been borne by various notable figures, including early American colonists.
  • D. Hallie
    Hallie is a friendly, talking hippo nurse character who assists Doc McStuffins in caring for toys in the animated children's television series.
  • E. Tish
    "Tish" is a 1942 American comedy film based on Mary Roberts Rinehart's stories, featuring Rags Ragland in a supporting role.
  • 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: Tilly
Triple: [Pomes Penyeach, hasPart, Tilly]
Generated description
Tilly is one of the short stories included in James Joyce’s collection *Pomes Penyeach*.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tilly
Target entity description: Tilly is one of the short stories included in James Joyce’s collection *Pomes Penyeach*.
  • A. Tilly
    Tilly is the commonly used name for Johann Tserclaes, Count of Tilly, a prominent general of the Catholic League during the early stages of the Thirty Years' War.
  • B. Lillete
    Lillete is an alcoholic beverage brand that forms part of Pernod Ricard’s global spirits and drinks portfolio.
  • C. Tilley
    Tilley is an English surname of Norman origin that has been borne by various notable figures, including early American colonists.
  • D. Hallie
    Hallie is a friendly, talking hippo nurse character who assists Doc McStuffins in caring for toys in the animated children's television series.
  • E. Tish
    "Tish" is a 1942 American comedy film based on Mary Roberts Rinehart's stories, featuring Rags Ragland in a supporting role.
  • 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_69ca84d7260c8190bfbec36762943f37 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cded3566f881909e0d1366f501d554 completed April 2, 2026, 4:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317a4d99c8190941322d3de2998f5 completed April 6, 2026, 2:17 a.m.
NEDg Description generation batch_69d31bafe69881909c7cc6180354d84a completed April 6, 2026, 2:34 a.m.
NED2 Entity disambiguation (via description) batch_69d31c106c90819084c47bc0b70ddbd3 completed April 6, 2026, 2:36 a.m.
Created at: March 30, 2026, 9:12 p.m.