Triple
T12259571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sugarcane |
E292185
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Baby Fresh |
E968651
|
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: Baby Fresh | Statement: [Sugarcane, producer, Baby Fresh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baby Fresh Context triple: [Sugarcane, producer, Baby Fresh]
-
A.
Baby Fresh
chosen
Baby Fresh is a music producer known for crafting contemporary tracks, including work on the song "All Over."
-
B.
Diaper Dandy
Diaper Dandy is a famous Dick Vitale catchphrase referring to an outstanding freshman college basketball player.
-
C.
Johnson's Baby
Johnson's Baby is a well-known line of gentle baby care products, including shampoos, lotions, and powders, designed for infants and young children.
-
D.
Baby-O
Baby-O is a film directed by Charles Matthau, known as one of his notable works in American cinema.
-
E.
Sebamed Baby
Sebamed Baby is a skincare and hygiene product line for infants and young children known for its pH-balanced, dermatologically tested formulations designed to protect delicate baby skin.
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cd964ec81908241d2b9a96d1025 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63461cacc81909958fbd745e5d065 |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:52 p.m.