Triple
T15384212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moo Moo Farm |
E367877
|
entity |
| Predicate | hazard |
P1950
|
FINISHED |
| Object | Monty Moles |
E1023829
|
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: Monty Moles | Statement: [Moo Moo Farm, hazard, Monty Moles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monty Moles Context triple: [Moo Moo Farm, hazard, Monty Moles]
-
A.
Monty Mole
chosen
Monty Mole is a recurring burrowing mole enemy in the Super Mario video game series, known for popping out of the ground to surprise and attack players.
-
B.
Monty
Monty is the nickname of British Field Marshal Bernard Law Montgomery, a prominent World War II commander best known for his leadership in the North African and European campaigns.
-
C.
Monty
Monty is the costumed biscuit-themed mascot of the Montgomery Biscuits Minor League Baseball team.
-
D.
Mo the Mule
Mo the Mule is the costumed mule mascot representing the University of Central Missouri at its athletic events and campus activities.
-
E.
Mick E. Moose
Mick E. Moose is the costumed moose mascot known for entertaining fans at Manitoba Moose hockey games.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e7397188190bde42b897ab4b5b4 |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a6b67c08190b0df6b9fd65ff28b |
completed | May 9, 2026, 11:28 a.m. |
Created at: April 10, 2026, 3:19 a.m.