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.