Triple
T12005930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hackney Diamonds |
E285777
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | Angry |
E285749
|
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: Angry | Statement: [Hackney Diamonds, hasSingle, Angry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angry Context triple: [Hackney Diamonds, hasSingle, Angry]
-
A.
Angry
chosen
"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.
-
B.
Anger
Anger is a municipality in the Bavarian Alps of southeastern Germany, known for its scenic landscapes and traditional rural character.
-
C.
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.
-
D.
Grumpy
Grumpy is a character from the 1923 silent mystery-comedy film "Grumpy," known for his irritable yet endearing personality.
-
E.
Grumpy
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.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903c5cfc08190821e4b2940c51416 |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49d259f7c81908366e7d9e61a6c73 |
completed | May 1, 2026, 12:31 p.m. |
Created at: April 8, 2026, 9:46 p.m.