Triple
T19646144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Celebrations for a Grey Day |
E471675
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | The Falcon |
—
|
NE NERFINISHED |
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: The Falcon | Statement: [Celebrations for a Grey Day, hasTrack, The Falcon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Falcon Context triple: [Celebrations for a Grey Day, hasTrack, The Falcon]
-
A.
The Falcon
The Falcon is a central character in the British television series "My Generation," around whom much of the show's narrative and character dynamics revolve.
-
B.
The Falcon's Brother
The Falcon's Brother is a 1942 mystery film in the Falcon detective series, directed by Richard Thorpe and starring George Sanders and Tom Conway as crime-solving brothers.
-
C.
Falcon
Falcon is the NATO reporting name for a family of air-to-air missiles developed by Hughes Aircraft for use primarily by U.S. and allied fighter aircraft during the Cold War.
-
D.
Falcon
Falcon is a Marvel Comics superhero and member of the Avengers, known for his advanced winged flight suit and partnership with Captain America.
-
E.
Falcon
Falcon is a family of large language models designed for high-performance text generation and widely used in open-source AI applications.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
Provenance (2 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e641250e108190a707452fefc87041 |
completed | April 20, 2026, 3:07 p.m. |
Created at: April 10, 2026, 1:44 p.m.