Triple
T22654403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Breakfast in New Orleans, Dinner in Timbuktu |
E559184
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Mango |
—
|
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: Mango | Statement: [Breakfast in New Orleans, Dinner in Timbuktu, hasTrack, Mango]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mango Context triple: [Breakfast in New Orleans, Dinner in Timbuktu, hasTrack, Mango]
-
A.
Mango
Mango is a fellow soldier and member of Billy Lynn's Bravo Squad in Ben Fountain's novel "Billy Lynn's Long Halftime Walk."
-
B.
Mango
chosen
Mango is a sweet, tropical stone fruit widely cultivated and consumed around the world, especially in South Asia.
-
C.
MANGO
MANGO is the callsign of Mango Airlines, a South African low-cost carrier known for its bright orange livery and domestic routes.
-
D.
Haden mango
Haden mango is a historically important and widely grown mango cultivar from Florida known for its rich flavor, vibrant color, and role as a parent to many modern mango varieties.
-
E.
The Mango
"The Mango" is an episode of the television sitcom Seinfeld, known for its storyline involving fruit, sexual performance, and the characters' anxieties about satisfaction.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e245489dd88190b1f674acf61c8769 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1765a97ac819095f21ccbdada1d0a |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 3:06 p.m.