Triple

T18261760
Position Surface form Disambiguated ID Type / Status
Subject Miss Saigon E437373 entity
Predicate notableSong P4 FINISHED
Object Sun and Moon
"Sun and Moon" is a romantic duet from the musical *Miss Saigon* that captures the intense, forbidden love between the characters Kim and Chris.
 E1315875 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: Sun and Moon | Statement: [Miss Saigon, notableSong, Sun and Moon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sun and Moon
Context triple: [Miss Saigon, notableSong, Sun and Moon]
  • A. Sun & Moon
    "Sun & Moon" is a widely acclaimed trance track by British electronic music group Above & Beyond, known for its emotional lyrics and uplifting melodic production.
  • B. the Sun and Moon
    The Sun and Moon are the celestial lights of Tolkien’s legendarium that illuminate Middle-earth and Valinor after the destruction of the Two Trees.
  • C. Sun, Moon & Stars
    "Sun, Moon & Stars" is a track from the album *True Magic* by American rapper and producer Mos Def.
  • D. Sun on the Moon
    "Sun on the Moon" is a track from the 1988 pop-rock album *Never Die Young* by American singer-songwriter James Taylor.
  • E. Two Moon
    Two Moon was a Northern Cheyenne chief and warrior who played a prominent leadership role against U.S. forces during the Great Sioux War of 1876.
  • 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: Sun and Moon
Triple: [Miss Saigon, notableSong, Sun and Moon]
Generated description
"Sun and Moon" is a romantic duet from the musical *Miss Saigon* that captures the intense, forbidden love between the characters Kim and Chris.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sun and Moon
Target entity description: "Sun and Moon" is a romantic duet from the musical *Miss Saigon* that captures the intense, forbidden love between the characters Kim and Chris.
  • A. Sun & Moon
    "Sun & Moon" is a widely acclaimed trance track by British electronic music group Above & Beyond, known for its emotional lyrics and uplifting melodic production.
  • B. the Sun and Moon
    The Sun and Moon are the celestial lights of Tolkien’s legendarium that illuminate Middle-earth and Valinor after the destruction of the Two Trees.
  • C. Sun, Moon & Stars
    "Sun, Moon & Stars" is a track from the album *True Magic* by American rapper and producer Mos Def.
  • D. Sun on the Moon
    "Sun on the Moon" is a track from the 1988 pop-rock album *Never Die Young* by American singer-songwriter James Taylor.
  • E. Two Moon
    Two Moon was a Northern Cheyenne chief and warrior who played a prominent leadership role against U.S. forces during the Great Sioux War of 1876.
  • 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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ff76a1208190abbe6ab8720ed154 completed April 19, 2026, 4:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03b3f21ac0819081083bfcc7f59b4e completed May 12, 2026, 11:12 p.m.
NEDg Description generation batch_6a03b7cb11808190b2a2e532a7ae9f2b completed May 12, 2026, 11:29 p.m.
NED2 Entity disambiguation (via description) batch_6a03b82f60408190a927ca4322a9e42d completed May 12, 2026, 11:30 p.m.
Created at: April 10, 2026, 10:34 a.m.