Triple
T14116811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Spice |
E339794
|
entity |
| Predicate | hasProductLine |
P3585
|
FINISHED |
| Object | Old Spice Fiji |
E339794
|
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: Old Spice Fiji | Statement: [Old Spice, hasProductLine, Old Spice Fiji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Old Spice Fiji Context triple: [Old Spice, hasProductLine, Old Spice Fiji]
-
A.
Old Spice
chosen
Old Spice is a popular American grooming brand best known for its men's deodorants, body washes, and humorous advertising campaigns.
-
B.
Special K
Special K is a popular Kellogg’s breakfast cereal brand known for its lightly toasted flakes and association with weight management and healthy eating.
-
C.
Special K
Special K is a music producer best known for his work with the hip hop group Conspiracy.
-
D.
Spice
Spice is a Jamaican dancehall recording artist and performer widely regarded as the "Queen of Dancehall" for her influential role in modern Caribbean music.
-
E.
Mirinda
Mirinda is a fruit-flavored carbonated soft drink brand owned and produced by PepsiCo, popular in many countries around the world.
- 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de6010a03c81909f5f160f8d1fa8fa |
completed | April 14, 2026, 3:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0baa328819099511dfa7b9666d3 |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:22 p.m.