Triple
T7643320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Silly Song |
E173060
|
entity |
| Predicate | appearsInSceneWithCharacter |
P47747
|
FINISHED |
| Object | Grumpy |
E173050
|
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: Grumpy | Statement: [The Silly Song, appearsInSceneWithCharacter, Grumpy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grumpy Context triple: [The Silly Song, appearsInSceneWithCharacter, Grumpy]
-
A.
Grumpy
chosen
Grumpy is one of the seven dwarfs in Disney's classic animated film, known for his grouchy demeanor that hides a caring and protective nature.
-
B.
Grumpy
Grumpy is a character from the 1923 silent mystery-comedy film "Grumpy," known for his irritable yet endearing personality.
-
C.
Angry
"Angry" is a 2023 rock single by The Rolling Stones, released as a lead track from their album "Hackney Diamonds" and noted for its classic Stones sound and high-energy music video.
-
D.
Impatient
"Impatient" is a track from will.i.am's 2007 hip hop/pop album *Songs About Girls*, showcasing his blend of electronic production and melodic hooks.
-
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_69c6995360188190968ee57b72a1627f |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c701731a288190b53ffc546a2f47d7 |
completed | March 27, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b4f48de88190b9cf40bfb1a26323 |
completed | March 29, 2026, 5:13 a.m. |
Created at: March 27, 2026, 3:58 p.m.