Triple
T7930762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cynthia Kenyon |
E184182
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Calico |
E184180
|
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: Calico | Statement: [Cynthia Kenyon, employer, Calico]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calico Context triple: [Cynthia Kenyon, employer, Calico]
-
A.
Calico
chosen
Calico is a research and development company founded by Google that focuses on understanding aging and developing technologies to extend human lifespan.
-
B.
Tabby
Tabby is a supporting character in the 2020 supernatural horror film "The Craft: Legacy," which follows a new coven of teenage witches.
-
C.
Kitty
Kitty is a common diminutive or nickname for the given name Catherine.
-
D.
Kitty
"Kitty" is a 1945 historical comedy-drama film set in 18th-century London, best known for starring Paulette Goddard as a pickpocket who rises in society.
-
E.
Seal Point
Seal Point is a coastal headland or promontory located near Hope Bay on the Antarctic Peninsula.
- 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_69ca8290c21c8190906a5ca6fe2b03c4 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3accc388819087065ebe7d5d9591 |
completed | March 31, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe011ccec8190ab60d18b761666af |
completed | March 31, 2026, 2:54 p.m. |
Created at: March 30, 2026, 5:07 p.m.