Triple
T23434369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victoria, Princess Royal |
E563415
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Vicky |
—
|
NE NERFINISHED |
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: Vicky | Statement: [Victoria, Princess Royal, alsoKnownAs, Vicky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vicky Context triple: [Victoria, Princess Royal, alsoKnownAs, Vicky]
-
A.
Vicky
Vicky is one of the two central female protagonists in Woody Allen's romantic drama film "Vicky Cristina Barcelona," whose contrasting personality and desires drive much of the story's emotional tension.
-
B.
Vicky
Vicky is the given name of Vicky Bullett, a former American professional basketball player and Olympic gold medalist.
-
C.
Vicky
Vicky is a central protagonist in the horror film "Children of the Corn," who becomes entangled in a deadly cult of children in a rural Nebraska town.
-
D.
Vicky
Vicky is a person known primarily for being in a romantic relationship with Juan Antonio.
-
E.
Vicky
chosen
Vicky is a feminine given name commonly used in English-speaking and some European countries, often as a diminutive of Victoria.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24553980c8190bb66a2ae0bdab125 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a5daabcc819094446a80723a487b |
completed | April 29, 2026, 6:31 a.m. |
Created at: April 17, 2026, 5:49 p.m.