Triple
T9345481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elliot Grey |
E224878
|
entity |
| Predicate | loveInterest |
P7325
|
FINISHED |
| Object | Kate Kavanagh |
E263357
|
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: Kate Kavanagh | Statement: [Elliot Grey, loveInterest, Kate Kavanagh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kate Kavanagh Context triple: [Elliot Grey, loveInterest, Kate Kavanagh]
-
A.
Kate Kavanagh
chosen
Kate Kavanagh is a fictional character best known as Anastasia Steele’s outspoken journalist roommate and friend in the "Fifty Shades of Grey" series.
-
B.
Kate Nelligan
Kate Nelligan is a Canadian actress acclaimed for her work in film, television, and theatre, noted for her intense dramatic performances and multiple award nominations.
-
C.
Kate Corrigan
Kate Corrigan is a key human advisor and field coordinator in the Hellboy comics, serving as a scholar and senior operative within the Bureau for Paranormal Research and Defense.
-
D.
Kate Mullen
Kate Mullen is the central protagonist of the work "Ransom," around whom the main narrative and its conflicts revolve.
-
E.
Katy Cavanagh
Katy Cavanagh is a British actress best known for her role as Julie Carp on the long-running soap opera "Coronation Street."
- 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_69ca842993248190a79ab06968994b86 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4f0ce7b881908714ab526d94fa1d |
completed | April 1, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20c9b4c3c8190bfe58a75e93b20b8 |
completed | April 5, 2026, 7:17 a.m. |
Created at: March 30, 2026, 7:41 p.m.