Triple
T10431982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boots |
E245936
|
entity |
| Predicate | wroteSong |
P2831
|
FINISHED |
| Object | Jealous |
E826930
|
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: Jealous | Statement: [Boots, wroteSong, Jealous]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jealous Context triple: [Boots, wroteSong, Jealous]
-
A.
Jealous
chosen
"Jealous" is a moody, R&B-infused song by Beyoncé that explores themes of insecurity, betrayal, and emotional vulnerability in a romantic relationship.
-
B.
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.
-
C.
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.
-
D.
Jealous One's Envy
Jealous One's Envy is a 1995 hip hop studio album by American rapper Fat Joe, noted for its gritty East Coast sound and street-oriented lyricism.
-
E.
Resentment
"Resentment" is an R&B ballad best known for Beyoncé's emotionally charged rendition about betrayal and heartbreak.
- 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_69d87eb8c70481909b9320af15f2b5e9 |
completed | April 10, 2026, 4:38 a.m. |
Created at: April 6, 2026, 12:13 p.m.