Triple
T5055258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ursula Andress |
E113885
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ursula Andress |
E113885
|
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: Ursula Andress | Statement: [Ursula Andress, name, Ursula Andress]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ursula Andress Context triple: [Ursula Andress, name, Ursula Andress]
-
A.
Ursula Andress
chosen
Ursula Andress is a Swiss actress best known as the iconic first Bond girl, Honey Ryder, in the James Bond film "Dr. No."
-
B.
Jill St. John
Jill St. John is an American actress best known for playing Bond girl Tiffany Case in the James Bond film "Diamonds Are Forever."
-
C.
Aimee Boorman
Aimee Boorman is an American gymnastics coach best known for guiding Simone Biles through her rise to becoming one of the most decorated gymnasts in history.
-
D.
Lara Pulver
Lara Pulver is a British actress known for her roles in television series such as "Sherlock" and "Spooks," as well as various film and stage productions.
-
E.
Gina Lollobrigida
Gina Lollobrigida was an iconic Italian film actress and international sex symbol of the 1950s and 1960s who later became a photojournalist and sculptor.
- 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_69bd443aa1f88190abb992d138f2cf42 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd744ccb888190a8a0ddd7c4d62f35 |
completed | March 20, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea489eb4c8190ad3a5480b909ef70 |
completed | March 21, 2026, 2 p.m. |
Created at: March 20, 2026, 1:38 p.m.