Triple
T10911702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kate O’Flynn |
E257716
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Wanderlust |
E566073
|
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: Wanderlust | Statement: [Kate O’Flynn, notableWork, Wanderlust]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wanderlust Context triple: [Kate O’Flynn, notableWork, Wanderlust]
-
A.
Wanderlust
chosen
Wanderlust is a 2018 British comedy-drama television series starring Toni Collette as a therapist questioning her marriage and exploring unconventional relationships.
-
B.
Wanderlust
"Wanderlust" is a song by the electronic music duo Volta, known for its atmospheric production and emotive, travel-inspired themes.
-
C.
Wanderlust
"Wanderlust" is a song by Paul McCartney from his 1982 album *Tug of War*, noted for its melodic richness and reflective lyrics.
-
D.
Wanderland
Wanderland is the second studio album by American singer Kelis, known for its experimental blend of R&B, hip hop, and electronic influences.
-
E.
Wander This World
Wander This World is a blues-rock album by American guitarist and singer Jonny Lang that helped establish his reputation as a prominent young blues artist.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770723df08190bedfdc94d998f969 |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e155550e388190bd441ac3a9dde435 |
completed | April 16, 2026, 9:32 p.m. |
Created at: April 8, 2026, 9:22 p.m.