Triple
T7265163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toon |
E159752
|
entity |
| Predicate | relatedTerm |
P37
|
FINISHED |
| Object | Toon Army |
E159757
|
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: Toon Army | Statement: [Toon, relatedTerm, Toon Army]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toon Army Context triple: [Toon, relatedTerm, Toon Army]
-
A.
Toon Army
chosen
Toon Army is the passionate and famously loyal fanbase of English football club Newcastle United.
-
B.
Toad Brigade
The Toad Brigade is a group of adventurous Toads, led by Captain Toad, that assists Mario on his journeys in the Super Mario Galaxy and related games.
-
C.
Toon
Toon is the popular nickname for Newcastle United Football Club and its supporters, especially associated with the club’s strong local identity in Newcastle upon Tyne.
-
D.
Troop Zero
Troop Zero is a 2019 family comedy-drama film about a misfit girl in 1970s rural Georgia who forms an unconventional Birdie Scout troop to compete for a chance to have her voice recorded on NASA’s Golden Record.
-
E.
Bon petit soldat
Bon petit soldat is a literary work by French writer and philosopher Mazarine Pingeot that explores intimate and psychological themes.
- 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_69c68838f9948190875fd60b2351230c |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eae50e008190a660925074077344 |
completed | March 27, 2026, 8:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7d3cb62288190bac8da63c24fe076 |
completed | March 28, 2026, 1:12 p.m. |
Created at: March 27, 2026, 2:57 p.m.