Triple
T13961578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kristen Wiig |
E335805
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Wiig |
E335805
|
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: Wiig | Statement: [Kristen Wiig, familyName, Wiig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wiig Context triple: [Kristen Wiig, familyName, Wiig]
-
A.
Wiig
chosen
Wiig is the surname of American actress, comedian, and writer Kristen Wiig, known for her work on Saturday Night Live and in films like Bridesmaids.
-
B.
Mii
Mii is a customizable avatar character created by players on Nintendo consoles and used across various games as a personal in-game representation.
-
C.
Wiip
Wiip is an independent television and film production company known for creating high-profile scripted series for major streaming platforms and networks.
-
D.
Wiggi
Wiggi is a diminutive nickname commonly used in German for the given name Ludwig.
-
E.
Woopi
Woopi is the colloquial nickname for Woolgoolga, a coastal town in New South Wales, Australia known for its beaches and large Sikh community.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e7c73d48190b8e02971b5a8ed5f |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1d6b2e88190b4d2237413f509ee |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:18 p.m.