Triple
T13109220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaitlin |
E310926
|
entity |
| Predicate | variantOf |
P4680
|
FINISHED |
| Object | Caitlin |
E969201
|
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: Caitlin | Statement: [Kaitlin, variantOf, Caitlin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caitlin Context triple: [Kaitlin, variantOf, Caitlin]
-
A.
Caitlin
Caitlin is the young daughter of amnesiac schoolteacher-turned-assassin Samantha Caine in the action film "The Long Kiss Goodnight."
-
B.
Caitlin
chosen
Caitlin is a feminine given name, often considered a variant of Catherine, commonly used in English-speaking countries.
-
C.
Cait
Cait was an early medieval Pictish kingdom in northern Scotland, likely centered in what is now Caithness and Sutherland.
-
D.
Kaitlin
Kaitlin is a feminine given name commonly used in English-speaking countries, often considered a variant of Caitlin or Kathleen.
-
E.
Caitlin Todd
Caitlin Todd is a former Secret Service agent who becomes a key NCIS special agent and original member of Leroy Jethro Gibbs’ investigative team on the TV series "NCIS."
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9817ce07881909ec552bf861ac175 |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e27bd8fc8190a81130b7cb3a8bd8 |
completed | May 3, 2026, 5:51 a.m. |
Created at: April 9, 2026, 9:05 p.m.