Triple
T16038295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Come On Pilgrim |
E389024
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Caribou |
E774895
|
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: Caribou | Statement: [Come On Pilgrim, hasPart, Caribou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caribou Context triple: [Come On Pilgrim, hasPart, Caribou]
-
A.
Caribou
Caribou is a small city in northern Maine known for its agricultural heritage, outdoor recreation, and proximity to the Canadian border.
-
B.
Caribou
chosen
Caribou is the stage name of Canadian musician and producer Dan Snaith, known for his critically acclaimed electronic and psychedelic music.
-
C.
Caribou
Caribou is a 1974 pop-rock album by Elton John that features the hit single "Don’t Let the Sun Go Down on Me."
-
D.
Alces
Alces is the biological genus that includes moose, large deer species native to northern regions of North America, Europe, and Asia.
-
E.
The Moose
"The Moose" is the famous nickname of Mark Messier, the Hall of Fame NHL forward renowned for his leadership, physical play, and multiple Stanley Cup championships.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1833eb90c8190b10dca3ce0793ddf |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbd5acb48190a10e40074fffd425 |
completed | May 10, 2026, 1:13 a.m. |
Created at: April 10, 2026, 4:56 a.m.