Triple

T4337792
Position Surface form Disambiguated ID Type / Status
Subject Over and Over E97504 entity
Predicate chronologyNextSingle P2686 FINISHED
Object Na-Nana-Na
"Na-Nana-Na" is a pop single released by British singer Rachel Stevens following her hit song "Over and Over."
E431294 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: Na-Nana-Na | Statement: [Over and Over, chronologyNextSingle, Na-Nana-Na]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Na-Nana-Na
Context triple: [Over and Over, chronologyNextSingle, Na-Nana-Na]
  • A. Nanu Nanu
    Nanu Nanu is the quirky alien greeting popularized by Robin Williams’s character Mork on the TV sitcom "Mork & Mindy."
  • B. Ill Na Na
    Ill Na Na is the 1996 debut studio album by American rapper Foxy Brown, known for its hardcore hip-hop sound and sexually confident, streetwise lyrics.
  • C. Pop-A-Nana
    Pop-A-Nana is a Minion-themed snack stand in Minion Land known for serving banana-inspired treats and refreshments.
  • D. 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.
  • E. 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.
  • 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: Na-Nana-Na
Triple: [Over and Over, chronologyNextSingle, Na-Nana-Na]
Generated description
"Na-Nana-Na" is a pop single released by British singer Rachel Stevens following her hit song "Over and Over."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Na-Nana-Na
Target entity description: "Na-Nana-Na" is a pop single released by British singer Rachel Stevens following her hit song "Over and Over."
  • A. Nanu Nanu
    Nanu Nanu is the quirky alien greeting popularized by Robin Williams’s character Mork on the TV sitcom "Mork & Mindy."
  • B. Ill Na Na
    Ill Na Na is the 1996 debut studio album by American rapper Foxy Brown, known for its hardcore hip-hop sound and sexually confident, streetwise lyrics.
  • C. Pop-A-Nana
    Pop-A-Nana is a Minion-themed snack stand in Minion Land known for serving banana-inspired treats and refreshments.
  • D. 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.
  • E. 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.
  • 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_69b3454662a481908fbcd0bbfaa3a0a4 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3516c621881909f094d040d4805e9 completed March 12, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d0ace26881908cfc7950dc7a6cf8 completed March 14, 2026, 9:18 p.m.
NEDg Description generation batch_69b5d241198c8190a14308e38b0778b3 completed March 14, 2026, 9:25 p.m.
NED2 Entity disambiguation (via description) batch_69b5d2af9330819081aab93fe24d3611 completed March 14, 2026, 9:27 p.m.
Created at: March 12, 2026, 11:14 p.m.