Triple
T11244162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sakkarin |
E266155
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Sugar, Sugar |
E631700
|
NE FINISHED |
How this triple was built (2 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: Sugar, Sugar | Statement: [Sakkarin, notableWork, Sugar, Sugar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sugar, Sugar Context triple: [Sakkarin, notableWork, Sugar, Sugar]
-
A.
Sugar, Sugar
chosen
"Sugar, Sugar" is a 1969 bubblegum pop song by The Archies that became a massive international hit and a defining track of the genre.
-
B.
A Spoonful of Sugar
"A Spoonful of Sugar" is a popular, upbeat song from the 1964 Disney film Mary Poppins, best known for Julie Andrews’s performance and its cheerful message about finding fun in work.
-
C.
Honey, Honey
"Honey, Honey" is a catchy pop song by the Swedish group ABBA, featured prominently in the musical and film adaptation of *Mamma Mia!* as one of its early ensemble numbers.
-
D.
Pour Some Sugar on Me
"Pour Some Sugar on Me" is a hit hard rock song by English band Def Leppard, best known as one of their signature tracks from the 1987 album "Hysteria."
-
E.
Watermelon Sugar
"Watermelon Sugar" is a hit pop song by English singer Harry Styles, known for its summery sound and widespread commercial success.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e91b0b808190bc38008bb344d180 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ad849f70819098a7056fbc4831ff |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 8, 2026, 9:30 p.m.