Triple
T16053248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hitch |
E389407
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Amber Valletta |
E824251
|
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: Amber Valletta | Statement: [Hitch, starring, Amber Valletta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amber Valletta Context triple: [Hitch, starring, Amber Valletta]
-
A.
Amber Valletta
chosen
Amber Valletta is an American fashion model and actress known for her work in high-profile fashion campaigns and roles in films such as "Hitch" and "What Lies Beneath."
-
B.
Amber Young
Amber Young is the daughter of American singer-songwriter Pegi Young and stepdaughter of rock musician Neil Young.
-
C.
Kate Upton
Kate Upton is an American model and actress best known for her appearances on the cover of the Sports Illustrated Swimsuit Issue and her work in film and fashion campaigns.
-
D.
Teala Loring
Teala Loring was an American film actress of the 1940s, known for her supporting roles in Hollywood features and as one of several sisters who also worked in the entertainment industry.
-
E.
Sharni Vinson
Sharni Vinson is an Australian actress and dancer best known for her roles in films like "Step Up 3D" and the horror movie "You're Next."
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1836365688190b182f29bbb66127e |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbe2d87c8190ba7f16feb018e70c |
completed | May 10, 2026, 1:14 a.m. |
Created at: April 10, 2026, 4:56 a.m.