Triple
T10004382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victoria’s Secret Fashion Show |
E198205
|
entity |
| Predicate | hasSegment |
P3574
|
FINISHED |
| Object | Pink segment |
E210343
|
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: Pink segment | Statement: [Victoria’s Secret Fashion Show, hasSegment, Pink segment]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pink segment Context triple: [Victoria’s Secret Fashion Show, hasSegment, Pink segment]
-
A.
Blue Segment
Blue Segment is an abstract painting by Russian artist Wassily Kandinsky, exemplifying his pioneering exploration of color, form, and non-representational composition.
-
B.
pink
Pink is a pale red color commonly associated with softness, romance, and playfulness.
-
C.
Purple
Purple is the 1994 sophomore studio album by American rock band Stone Temple Pilots, noted for its blend of grunge, hard rock, and psychedelic influences and featuring hits like “Interstate Love Song.”
-
D.
PINK
chosen
PINK is a youthful, college-age-focused lingerie and loungewear brand known for its playful, colorful designs and casual lifestyle apparel.
-
E.
Blue Area
Blue Area is Islamabad’s main commercial and business district, known for its high-rise offices, shops, and central location along the city’s primary thoroughfares.
- 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_69ca830fcca48190bbbd9b20c233835f |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd141ec08190b857fe7e15a8df93 |
completed | April 2, 2026, 1:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d26a5058a08190b850d30ca0ee8bc8 |
completed | April 5, 2026, 1:57 p.m. |
Created at: March 30, 2026, 8:51 p.m.