Triple
T5395266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agony |
E120637
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Agony |
E120637
|
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: Agony | Statement: [Agony, hasTitle, Agony]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agony Context triple: [Agony, hasTitle, Agony]
-
A.
Agony
chosen
Agony is a modernist painting by Armenian-American artist Arshile Gorky, reflecting his distinctive blend of abstraction and surrealism.
-
B.
Bring the Pain
Bring the Pain is Chris Rock’s acclaimed 1996 HBO stand-up comedy special that significantly elevated his status as a leading American comedian.
-
C.
Bring the Pain
"Bring the Pain" is one of Method Man’s most acclaimed solo tracks, known for its gritty lyrics and dark, atmospheric production that helped define mid-1990s East Coast hip hop.
-
D.
Exquisite Pain
Exquisite Pain is a conceptual art project and book by Sophie Calle that chronicles personal heartbreak through a structured, repetitive narrative blending text and photography.
-
E.
Bitter Tears
"Bitter Tears" is a song featured on Rufus Wainwright's album "Out of the Game."
- 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_69bd4637b92c8190b815b6443ae4b323 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8745c10c8190afa72894014c37d1 |
completed | March 20, 2026, 5:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf3a9b9ff881908edc10f29f62df1c |
completed | March 22, 2026, 12:40 a.m. |
Created at: March 20, 2026, 2:04 p.m.