Triple
T12219856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cate |
E291184
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Kaitlin |
E310926
|
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: Kaitlin | Statement: [Cate, relatedName, Kaitlin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaitlin Context triple: [Cate, relatedName, Kaitlin]
-
A.
Kaitlin
chosen
Kaitlin is a feminine given name commonly used in English-speaking countries, often considered a variant of Caitlin or Kathleen.
-
B.
Caitlin
Caitlin is the young daughter of amnesiac schoolteacher-turned-assassin Samantha Caine in the action film "The Long Kiss Goodnight."
-
C.
Caitlin
Caitlin is a feminine given name, often considered a variant of Catherine, commonly used in English-speaking countries.
-
D.
Katie
Katie is a feminine given name, often used as a diminutive of Katherine or Kathleen.
-
E.
Katie
"Katie" is a horror novel by Michael McDowell, known for its chilling exploration of a seemingly ordinary child with terrifying supernatural powers.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c951f5881908db6edfda1153d6f |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62a8e6ba081908428ce11196815cc |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:51 p.m.