Triple
T675390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kim Kardashian |
E13066
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Kimberly |
E23752
|
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: Kimberly | Statement: [Kim Kardashian, givenName, Kimberly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kimberly Context triple: [Kim Kardashian, givenName, Kimberly]
-
A.
Kimberly
chosen
Kimberly is a feminine given name of English origin that has been widely used in the United States since the mid-20th century.
-
B.
Kathryn
Kathryn is a feminine given name, commonly considered a variant spelling of Katherine/Catherine.
-
C.
Maxine
Maxine is a character featured in the film "Once Again."
-
D.
Kathleen
Kathleen is a feminine given name of Irish origin, derived from the name Catherine and widely used in English-speaking countries.
-
E.
Cynthia
Cynthia is a common feminine given name used in various cultures, often associated with the Greek moon goddess Artemis.
- 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_69a4933d3bf88190972041cd8cf143b9 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a0266e7c8190a94c4b4b761c59f4 |
completed | March 1, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3b93323c8190948dd9993a468a78 |
completed | March 7, 2026, 2:52 p.m. |
Created at: March 1, 2026, 7:36 p.m.