Triple
T7299430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Profumo |
E167803
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | Profumo |
E126984
|
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: Profumo | Statement: [John Profumo, hasFamilyName, Profumo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Profumo Context triple: [John Profumo, hasFamilyName, Profumo]
-
A.
Profumo
chosen
Profumo is an Italian surname most famously associated with John Profumo, the British politician at the center of the 1963 Profumo affair scandal.
-
B.
Profumo
"Profumo" is a popular 1986 rock song by Italian singer-songwriter Gianna Nannini, known for its passionate vocals and melodic, guitar-driven sound.
-
C.
J’adore fragrance
J’adore is a luxurious and iconic women’s perfume by Christian Dior, celebrated for its elegant floral bouquet and status as a modern classic in high-end fragrance.
-
D.
Guerlain
Guerlain is a historic French luxury perfume, cosmetics, and skincare house renowned for its iconic fragrances and high-end beauty products.
-
E.
Obsession (fragrance)
Obsession (fragrance) is a popular Calvin Klein perfume known for its warm, spicy, and sensual oriental scent profile that became iconic in the 1980s.
- 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_69c6888c820881909fc68f689fe1c251 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ebad1b4481909e49ccc580007e4b |
completed | March 27, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7eee71f5c8190aaff605eeff07390 |
completed | March 28, 2026, 3:08 p.m. |
Created at: March 27, 2026, 3:01 p.m.