Triple
T10004448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elsa Hosk |
E198207
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Elsa Hosk |
E198207
|
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: Elsa Hosk | Statement: [Elsa Hosk, name, Elsa Hosk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elsa Hosk Context triple: [Elsa Hosk, name, Elsa Hosk]
-
A.
Elsa Hosk
chosen
Elsa Hosk is a Swedish fashion model best known for her work with Victoria’s Secret, including serving as one of its prominent Angels and walking in numerous high-profile runway shows.
-
B.
Helena Christensen
Helena Christensen is a Danish supermodel and photographer who rose to international fame in the 1990s, notably as a Victoria’s Secret Angel and a prominent fashion campaign star.
-
C.
Suki Waterhouse
Suki Waterhouse is an English model, actress, and singer known for her fashion work, film roles, and music career.
-
D.
Vanessa Pike
Vanessa Pike is an actress known for her role in the 1995 horror film "The Mangler," adapted from a Stephen King short story.
-
E.
Natassia Malthe
Natassia Malthe is a Norwegian-Canadian actress and model known for her roles in action and fantasy films and television series.
- 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.