Triple
T14370495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red (The Angry Birds Movie) |
E356345
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | Red (Angry Birds) |
E356345
|
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: Red (Angry Birds) | Statement: [Red (The Angry Birds Movie), basedOn, Red (Angry Birds)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Red (Angry Birds) Context triple: [Red (The Angry Birds Movie), basedOn, Red (Angry Birds)]
-
A.
Red (The Angry Birds Movie)
chosen
Red is the hot-tempered but ultimately heroic main bird protagonist of *The Angry Birds Movie*, known for his sarcastic personality and leadership in defending Bird Island.
-
B.
Red V
Red V is the iconic nickname and jersey motif associated with the St George Illawarra Dragons rugby league club.
-
C.
Rojo
Rojo is a Spanish surname borne by various notable figures, including artists, politicians, and athletes.
-
D.
Rojo
"Rojo" is a popular Spanish-language reggaeton song by Colombian artist J Balvin, known for its emotional tone and vivid red-themed visuals.
-
E.
the Red
"The Red" is the famous epithet of Erik the Red, the Norse explorer known for founding the first Norse settlements in Greenland.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8fb0b8988190ab834a85911c015c |
completed | April 14, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c5363a081909681b54c1d8218dc |
completed | May 8, 2026, 2:37 a.m. |
Created at: April 10, 2026, 1:15 a.m.