Triple
T4880799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nina Agdal |
E109320
|
entity |
| Predicate | hasWorkedFor |
P11675
|
FINISHED |
| Object | Banana Moon Swimwear |
E440721
|
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: Banana Moon Swimwear | Statement: [Nina Agdal, hasWorkedFor, Banana Moon Swimwear]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Banana Moon Swimwear Context triple: [Nina Agdal, hasWorkedFor, Banana Moon Swimwear]
-
A.
Wacoal
Wacoal is a Japanese company best known as a leading manufacturer and retailer of women's lingerie and intimate apparel.
-
B.
Capris
Capris is the ancient Latin name for the coastal city now known as Koper, located on the Adriatic Sea in present-day Slovenia.
-
C.
Ko’okiri Body Plunge
Ko’okiri Body Plunge is a high-thrill, near-vertical drop body slide themed to a volcano at Universal’s Volcano Bay water park.
-
D.
Baby Phat
chosen
Baby Phat is a fashion brand best known for its early-2000s streetwear and glamorous, hip-hop-inspired women’s apparel and accessories.
-
E.
Biskinik
Biskinik is the official newspaper of the Choctaw Nation, providing news, cultural information, and community updates for Choctaw citizens.
- 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_69bd440e9d64819083e82cf33b4d9570 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6dc071d4819083ea9fd0c73c5f49 |
completed | March 20, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be6803a1c081908972984241276c19 |
completed | March 21, 2026, 9:42 a.m. |
Created at: March 20, 2026, 1:27 p.m.