Triple
T17099506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viki Lord |
E414941
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Viki |
E1074042
|
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: Viki | Statement: [Viki Lord, nickname, Viki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Viki Context triple: [Viki Lord, nickname, Viki]
-
A.
Viki
chosen
Viki is the commonly used nickname for Viki Weisskopf, likely referring to her in informal or personal contexts.
-
B.
VIKI
VIKI is the central artificial intelligence system and primary antagonist in the science fiction film "I, Robot," overseeing and controlling robots under a rigid interpretation of the Three Laws of Robotics.
-
C.
Vicky
Vicky is the given name of Vicky Bullett, a former American professional basketball player and Olympic gold medalist.
-
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.
Vicky
Vicky is the sadistic, mean-spirited teenage babysitter and primary human antagonist in the animated series "The Fairly OddParents."
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dc00880481909cc0dbc169663a41 |
completed | April 18, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012eefd5f08190b9eb8a81e45a9921 |
completed | May 11, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:35 a.m.