Triple

T30889480
Position Surface form Disambiguated ID Type / Status
Subject Al s'fod (Do Not Lament) E786857 entity
Predicate workTitleInHebrewTransliteration P159002 FINISHED
Object Al s'fod
Al s'fod is a Hebrew-language work titled "Do Not Lament," likely a poem or liturgical text centered on themes of mourning and consolation.
 E1936316 NE FINISHED

How this triple was built (3 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: Al s'fod | Statement: [Al s'fod (Do Not Lament), workTitleInHebrewTransliteration, Al s'fod]
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: Al s'fod
Triple: [Al s'fod (Do Not Lament), workTitleInHebrewTransliteration, Al s'fod]
Generated description
Al s'fod is a Hebrew-language work titled "Do Not Lament," likely a poem or liturgical text centered on themes of mourning and consolation.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: workTitleInHebrewTransliteration
Context triple: [Al s'fod (Do Not Lament), workTitleInHebrewTransliteration, Al s'fod]
  • A. workTitleInLatinScript chosen
    Indicates that the title of a work is expressed using a Latin-based writing system.
  • B. titleInHebrew
    Indicates that an entity has a specific title expressed in the Hebrew language.
  • C. workTitleInPortuguese
    Indicates that the relationship specifies the title of a work as expressed in the Portuguese language.
  • D. workTitleInChinese
    Indicates that a work has a specific title expressed in the Chinese language.
  • E. workTitle
    Indicates the formal title or name of a work (such as a book, artwork, or composition) associated with an entity.
  • F. None of above.

Provenance (6 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_69f224bbfa7c81908448e0c261c523e3 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69dfdda708190be290c7bec205445 completed May 3, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_6a28c7e78ebc819083fd321e93e5e6d8 completed June 10, 2026, 2:11 a.m.
NEDg Description generation batch_6a28cc6167d481909f39e735e9ac5b77 completed June 10, 2026, 2:30 a.m.
NED2 Entity disambiguation (via description) batch_6a28cdb1ee7481909395b195f16c6163 completed June 10, 2026, 2:36 a.m.
PD Predicate disambiguation batch_69f69d1a37e081908d1d86b90ff502bd completed May 3, 2026, 12:55 a.m.
Created at: April 29, 2026, 8:49 p.m.