Triple

T2182547
Position Surface form Disambiguated ID Type / Status
Subject Surah An-Najm E49077 entity
Predicate name P16 FINISHED
Object The Star
The Star is the English title of Surah An-Najm, a chapter of the Qur’an that emphasizes the divine origin of revelation and the authority of the Prophet Muhammad.
 E243246 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: The Star | Statement: [Surah An-Najm, name, The Star]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Star
Context triple: [Surah An-Najm, name, The Star]
  • A. The Star
    The Star is a 1952 drama film starring Bette Davis as a fading Hollywood actress struggling with the loss of her fame and career.
  • B. Ay yıldız
    Ay yıldız is the crescent-and-star emblem that serves as the central symbol of the Turkish national flag and a broader icon of Turkey.
  • C. Estrela Solitária
    Estrela Solitária is the famous nickname of Brazilian football club Botafogo de Futebol e Regatas, referencing its iconic lone star emblem.
  • D. The Light
    The Light is a notable work by the rapper Common, showcasing his introspective lyricism and soulful, jazz-influenced hip-hop style.
  • E. Forecourt of the Stars
    Forecourt of the Stars is the famous courtyard at Hollywood’s TCL Chinese Theatre where numerous movie stars’ handprints, footprints, and signatures are immortalized in concrete.
  • 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: The Star
Triple: [Surah An-Najm, name, The Star]
Generated description
The Star is the English title of Surah An-Najm, a chapter of the Qur’an that emphasizes the divine origin of revelation and the authority of the Prophet Muhammad.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: The Star
Target entity description: The Star is the English title of Surah An-Najm, a chapter of the Qur’an that emphasizes the divine origin of revelation and the authority of the Prophet Muhammad.
  • A. The Star
    The Star is a 1952 drama film starring Bette Davis as a fading Hollywood actress struggling with the loss of her fame and career.
  • B. Ay yıldız
    Ay yıldız is the crescent-and-star emblem that serves as the central symbol of the Turkish national flag and a broader icon of Turkey.
  • C. Estrela Solitária
    Estrela Solitária is the famous nickname of Brazilian football club Botafogo de Futebol e Regatas, referencing its iconic lone star emblem.
  • D. The Light
    The Light is a notable work by the rapper Common, showcasing his introspective lyricism and soulful, jazz-influenced hip-hop style.
  • E. Forecourt of the Stars
    Forecourt of the Stars is the famous courtyard at Hollywood’s TCL Chinese Theatre where numerous movie stars’ handprints, footprints, and signatures are immortalized in concrete.
  • 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_69a88aa72d348190a9544bb5b8a4e71d completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbf0d551881909d7f907378e1b2b7 completed March 7, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5da786e48190896cae8fdcee3d83 completed March 9, 2026, 5:41 a.m.
NEDg Description generation batch_69ae5e30a69c8190a3f77e784401f671 completed March 9, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_69ae5ea7909c8190a93d87a5d07b84d4 completed March 9, 2026, 5:46 a.m.
Created at: March 4, 2026, 7:45 p.m.