Triple
T14769841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lakeshore Chinooks |
E347099
|
entity |
| Predicate | hasMascot |
P52
|
FINISHED |
| Object | Gill |
E283321
|
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: Gill | Statement: [Lakeshore Chinooks, hasMascot, Gill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gill Context triple: [Lakeshore Chinooks, hasMascot, Gill]
-
A.
Gill
Gill is a surname of English and Scottish origin borne by numerous notable individuals across various fields.
-
B.
Gill
chosen
Gill is a scarred, tough-but-caring Moorish idol fish from Disney-Pixar’s Finding Nemo who mentors Nemo and leads escape plans in the dentist’s aquarium.
-
C.
Gillam
Gillam is a small remote community in northern Manitoba, Canada, known as a service and access point for nearby wilderness areas and hydroelectric developments.
-
D.
Gillams
Gillams is a small coastal community in Newfoundland and Labrador, Canada, situated near the Bay of Islands.
-
E.
Gill Grunt
Gill Grunt is a water-element Skylander character, a heroic gillman marine with a harpoon gun and water cannon, from the Skylanders video game series.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec81334e08190a77d760e507d00ed |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cf86730819082cf3f502ec16a46 |
completed | May 8, 2026, 4:19 p.m. |
Created at: April 10, 2026, 1:31 a.m.