Triple
T15674674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vanessa Angel |
E377408
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Vanessa Angel |
E377408
|
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: Vanessa Angel | Statement: [Vanessa Angel, name, Vanessa Angel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vanessa Angel Context triple: [Vanessa Angel, name, Vanessa Angel]
-
A.
Vanessa Angel
chosen
Vanessa Angel is an English actress and former model best known for her roles in the film "Kingpin" and the TV series "Weird Science."
-
B.
Vanessa Reid
Vanessa Reid is known as the wife of Greg Page, the original lead singer of the Australian children's music group The Wiggles.
-
C.
Vanessa Hill
Vanessa Hill is a science communicator and educator best known for creating the popular YouTube channel and PBS series BrainCraft, which explores psychology, neuroscience, and human behavior.
-
D.
Vanessa Ray
Vanessa Ray is an American actress best known for her role as Officer Edit "Eddie" Janko-Reagan on the television series "Blue Bloods."
-
E.
Vanessa Brown
Vanessa Brown was an Austrian-born American actress known for her work in mid-20th-century Hollywood films, radio, and stage productions.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f2c996c8190a9ebe0e92608feaa |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6edd85148190b6d5c3981204dd77 |
completed | May 9, 2026, 5:29 p.m. |
Created at: April 10, 2026, 4:16 a.m.