Triple
T13292827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cristina |
E316600
|
entity |
| Predicate | hasFriend |
P8712
|
FINISHED |
| Object | Vicky |
E312155
|
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: Vicky | Statement: [Cristina, hasFriend, Vicky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vicky Context triple: [Cristina, hasFriend, Vicky]
-
A.
Vicky
Vicky is the given name of Vicky Bullett, a former American professional basketball player and Olympic gold medalist.
-
B.
Vicky
Vicky is the sadistic, mean-spirited teenage babysitter and primary human antagonist in the animated series "The Fairly OddParents."
-
C.
Vicky
chosen
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.
-
D.
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.
-
E.
Vicki
Vicki is a young companion of the First Doctor in the classic British science fiction television series Doctor Who.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99078bcf0819083195fb556bcacb2 |
completed | April 11, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716d6dc988190ab7183089113237f |
completed | May 3, 2026, 9:35 a.m. |
Created at: April 9, 2026, 9:27 p.m.