Triple
T10431449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Resentment |
E245922
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Resentment |
E245922
|
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: Resentment | Statement: [Resentment, title, Resentment]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Resentment Context triple: [Resentment, title, Resentment]
-
A.
Resentment
chosen
"Resentment" is an R&B ballad best known for Beyoncé's emotionally charged rendition about betrayal and heartbreak.
-
B.
Envy
Envy is a new emotion character in Pixar's "Inside Out 2," embodying feelings of jealousy and longing in the mind of the protagonist.
-
C.
Anger
Anger is a municipality in the Bavarian Alps of southeastern Germany, known for its scenic landscapes and traditional rural character.
-
D.
Anger
Anger is one of the core emotion characters in Pixar's Inside Out films, embodying fiery frustration and outrage within the mind of the protagonist.
-
E.
Jealousy
"Jealousy" is a melancholic synth-pop song by the Pet Shop Boys, known for its orchestral arrangement and themes of emotional insecurity and romantic suspicion.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea63f03c81908331655241102725 |
completed | April 7, 2026, 11:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87eb068bc8190be9c7c916850278e |
completed | April 10, 2026, 4:38 a.m. |
Created at: April 6, 2026, 12:13 p.m.