Triple
T17185946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long Division |
E417108
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Shame |
E583180
|
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: Shame | Statement: [Long Division, hasTrack, Shame]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shame Context triple: [Long Division, hasTrack, Shame]
-
A.
Shame
"Shame" is a 1983 novel by Salman Rushdie that blends magic realism and political satire to explore themes of power, identity, and violence in a thinly veiled fictional version of Pakistan.
-
B.
Shame
Shame is a 2011 British drama film directed by Steve McQueen, known for its unflinching portrayal of sex addiction and emotional isolation in contemporary New York City.
-
C.
Shame
chosen
"Shame" is a song produced and co-written by Pop Wansel, known for its soulful, emotionally charged R&B style.
-
D.
Shame
Shame is a painful social emotion arising from the perception of having violated norms or fallen short of expectations, often leading to feelings of worthlessness or a desire to hide.
-
E.
Shame
Shame is a 1968 Swedish war drama film directed by Ingmar Bergman that explores the psychological and moral collapse of a couple during a fictional civil war.
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42d962b988190bdbba81ac63c7e6e |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fcc424081908a7e74df0523443e |
completed | May 11, 2026, 4:49 a.m. |
Created at: April 10, 2026, 5:37 a.m.