Triple
T12066490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simona Brown |
E287308
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Guilt |
E746371
|
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: Guilt | Statement: [Simona Brown, notableWork, Guilt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guilt Context triple: [Simona Brown, notableWork, Guilt]
-
A.
Guilt
chosen
Guilt is a Scottish darkly comic thriller television series centered on two brothers whose attempt to cover up a hit-and-run spirals into a web of secrets and lies.
-
B.
Remorse
"Remorse" is a poem reflecting themes of guilt and emotional regret, featured in the collection *Counter-Attack and Other Poems* by Siegfried Sassoon.
-
C.
Regret
"Regret" is a short story by Kate Chopin that explores themes of independence, motherhood, and emotional awakening through the experiences of a solitary woman unexpectedly caring for children.
-
D.
Regret
"Regret" is a song by Fiona Apple from her critically acclaimed album *The Idler Wheel...*, noted for its raw emotional intensity and intricate, percussive arrangement.
-
E.
Regret
"Regret" is an R&B song by American singer LeToya Luckett, known for its emotive lyrics about heartbreak and its success on urban music charts.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d904423dc08190a47194422255c62e |
completed | April 10, 2026, 2:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a66711481909fe0b0d3b2934601 |
completed | May 2, 2026, 2:29 p.m. |
Created at: April 8, 2026, 9:48 p.m.