Triple
T21945841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vicky Krieps |
E541930
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Vicky
Vicky is a feminine given name commonly used in English-speaking and some European countries, often as a diminutive of Victoria.
|
E1511049
|
NE FINISHED |
How this triple was built (4 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: [Vicky Krieps, givenName, Vicky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vicky Context triple: [Vicky Krieps, givenName, 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
Vicky is a person known primarily for being in a romantic relationship with Juan Antonio.
-
D.
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.
-
E.
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Vicky Triple: [Vicky Krieps, givenName, Vicky]
Generated description
Vicky is a feminine given name commonly used in English-speaking and some European countries, often as a diminutive of Victoria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vicky Target entity description: Vicky is a feminine given name commonly used in English-speaking and some European countries, often as a diminutive of Victoria.
-
A.
Vicky
Vicky is the given name of Vicky Bullett, a former American professional basketball player and Olympic gold medalist.
-
B.
Vicky
Vicky is a British journalist and housing campaigner known for her work on the UK housing crisis and social policy.
-
C.
Vicky
Vicky is a person known primarily for being in a romantic relationship with Juan Antonio.
-
D.
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.
-
E.
Vicky
Vicky is the sadistic, mean-spirited teenage babysitter and primary human antagonist in the animated series "The Fairly OddParents."
- F. None of above. chosen
Provenance (5 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_69e0c47ef0e48190a50e1bcc43f4b3fd |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12427c2b48190949c41bd3be2d9f3 |
completed | April 28, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a670241e48190ab2e085b11bf5161 |
completed | May 18, 2026, 1:10 a.m. |
| NEDg | Description generation | batch_6a0a6812112c81909844ab725dff79ed |
completed | May 18, 2026, 1:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a688613e8819081def9b6ba0d445e |
completed | May 18, 2026, 1:16 a.m. |
Created at: April 16, 2026, 7:57 p.m.