Triple

T18048445
Position Surface form Disambiguated ID Type / Status
Subject Segundo Romance E431862 entity
Predicate hasPart P35 FINISHED
Object Sin ti
"Sin ti" is a romantic ballad by Luis Miguel featured on his acclaimed 1994 album *Segundo Romance*.
E1302832 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: Sin ti | Statement: [Segundo Romance, hasPart, Sin ti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sin ti
Context triple: [Segundo Romance, hasPart, Sin ti]
  • A. Nini
    Nini is one of the five Fuwa mascots of the 2008 Beijing Summer Olympics, inspired by a swallow and symbolizing good luck and the host city's culture.
  • B. Nini
    Nini is a supporting character in *Moulin Rouge! The Musical*, portrayed as one of the club’s dancers and a confidante within the bohemian world of the Moulin Rouge.
  • C. Sinama
    Sinama is an Austronesian language spoken by the Sama-Bajau people of the southern Philippines, Malaysia, and Indonesia.
  • D. Sinuessa
    Sinuessa was an ancient Roman coastal town in Campania, Italy, known for its strategic location along major roads and its nearby thermal baths.
  • E. Sizi
    Sizi is an alternative name for the Turkish television series "Dizi."
  • 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: Sin ti
Triple: [Segundo Romance, hasPart, Sin ti]
Generated description
"Sin ti" is a romantic ballad by Luis Miguel featured on his acclaimed 1994 album *Segundo Romance*.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sin ti
Target entity description: "Sin ti" is a romantic ballad by Luis Miguel featured on his acclaimed 1994 album *Segundo Romance*.
  • A. Nini
    Nini is one of the five Fuwa mascots of the 2008 Beijing Summer Olympics, inspired by a swallow and symbolizing good luck and the host city's culture.
  • B. Nini
    Nini is a supporting character in *Moulin Rouge! The Musical*, portrayed as one of the club’s dancers and a confidante within the bohemian world of the Moulin Rouge.
  • C. Sinama
    Sinama is an Austronesian language spoken by the Sama-Bajau people of the southern Philippines, Malaysia, and Indonesia.
  • D. Sinuessa
    Sinuessa was an ancient Roman coastal town in Campania, Italy, known for its strategic location along major roads and its nearby thermal baths.
  • E. Sizi
    Sizi is an alternative name for the Turkish television series "Dizi."
  • 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_69d8b906482481908183315b9ecf9994 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4bff39394819080407e1614bd5da9 completed April 19, 2026, 11:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0349bd7b288190b6b5f2548379d280 completed May 12, 2026, 3:39 p.m.
NEDg Description generation batch_6a034b81d3a4819087f9ead00f13635e completed May 12, 2026, 3:47 p.m.
NED2 Entity disambiguation (via description) batch_6a034c190a58819096c77a2254511256 completed May 12, 2026, 3:49 p.m.
Created at: April 10, 2026, 10:25 a.m.