Triple
T7860110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jemima Kirke |
E182472
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object | Sex Education |
E341943
|
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: Sex Education | Statement: [Jemima Kirke, workedOn, Sex Education]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sex Education Context triple: [Jemima Kirke, workedOn, Sex Education]
-
A.
Sex Education
chosen
Sex Education is a British comedy-drama television series that follows the lives of teenagers and their parents as they navigate relationships, sexuality, and personal identity in a candid and humorous way.
-
B.
Sex/Life
Sex/Life is a steamy Netflix drama series that explores a suburban wife's clash between her stable family life and the wild past she still craves.
-
C.
Sex & Religion
Sex & Religion is a 1993 studio album by virtuoso guitarist Steve Vai that blends complex guitar work with progressive and hard rock elements.
-
D.
SEX
SEX is an alias used by American rapper Young Thug, reflecting his provocative and unconventional artistic persona.
-
E.
Sex
"Sex" is a song by the American rock band Strut.
- 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_69ca82887fd48190975896bf38c4596b |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb36bb6ca4819098bc00739e07cfc8 |
completed | March 31, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b4138d081908a5ff16b79f0a0c8 |
completed | March 31, 2026, 5:27 a.m. |
Created at: March 30, 2026, 4:53 p.m.