Triple
T435627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indianapolis Colts |
E10004
|
entity |
| Predicate | mascot |
P52
|
FINISHED |
| Object |
Blue
Blue is the anthropomorphic blue horse who serves as the official mascot of the NFL’s Indianapolis Colts.
|
E54593
|
NE FINISHED |
How this triple was built (4 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: Blue | Statement: [Indianapolis Colts, mascot, Blue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blue Context triple: [Indianapolis Colts, mascot, Blue]
-
A.
Blue
Blue is a critically acclaimed 1971 folk album by Joni Mitchell, widely regarded as one of the greatest and most influential records in popular music history.
-
B.
Tiffany Blue
Tiffany Blue is the distinctive light robin’s-egg blue color trademarked and famously used by the luxury jewelry brand Tiffany & Co.
-
C.
Orange
Orange is a historic town in southeastern France best known for giving its name and origin to the Dutch royal House of Orange-Nassau.
-
D.
Green Light
"Green Light" is an upbeat, dance-pop and R&B single by John Legend featuring André 3000, known for its energetic tempo and departure from Legend’s usual soulful ballad style.
-
E.
Big Blue
Big Blue is the widely used nickname for the New York Giants, a professional American football team in the NFL.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Blue Triple: [Indianapolis Colts, mascot, Blue]
Generated description
Blue is the anthropomorphic blue horse who serves as the official mascot of the NFL’s Indianapolis Colts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Blue Target entity description: Blue is the anthropomorphic blue horse who serves as the official mascot of the NFL’s Indianapolis Colts.
-
A.
Blue
Blue is a critically acclaimed 1971 folk album by Joni Mitchell, widely regarded as one of the greatest and most influential records in popular music history.
-
B.
Tiffany Blue
Tiffany Blue is the distinctive light robin’s-egg blue color trademarked and famously used by the luxury jewelry brand Tiffany & Co.
-
C.
Orange
Orange is a historic town in southeastern France best known for giving its name and origin to the Dutch royal House of Orange-Nassau.
-
D.
Green Light
"Green Light" is an upbeat, dance-pop and R&B single by John Legend featuring André 3000, known for its energetic tempo and departure from Legend’s usual soulful ballad style.
-
E.
Big Blue
Big Blue is the widely used nickname for the New York Giants, a professional American football team in the NFL.
- F. None of above. chosen
Provenance (5 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_69a2e8465ef481909655c681b01e2986 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2ef0b6e0c8190ad6a335ee804829c |
completed | Feb. 28, 2026, 1:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a431e6989c81909d0a79408f8ca76a |
completed | March 1, 2026, 12:32 p.m. |
| NEDg | Description generation | batch_69a43241ad9881909fb74e078ea07e19 |
completed | March 1, 2026, 12:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a43301bbe08190ac625f5194d36267 |
completed | March 1, 2026, 12:37 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.