Triple
T1800920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scott Grimes |
E39715
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Critters |
E54673
|
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: Critters | Statement: [Scott Grimes, appearedIn, Critters]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Critters Context triple: [Scott Grimes, appearedIn, Critters]
-
A.
Critter Country
Critter Country is a themed land at Disneyland known for its rustic woodland setting and attractions featuring animal characters.
-
B.
Critters 3
chosen
Critters 3 is a 1991 direct-to-video horror-comedy film in the Critters franchise, best known for featuring Leonardo DiCaprio in his film debut.
-
C.
Chomps
Chomps is a dog-themed mascot character for the NFL’s Cleveland Browns, typically depicted as a muscular, anthropomorphic brown dog in team gear.
-
D.
Coelhos
Coelhos is a neighborhood located in the city of Recife, in the state of Pernambuco, Brazil.
-
E.
Tukkies
Tukkies is the popular nickname for the University of Pretoria, a major public research university in South Africa.
- 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_69a88632aa588190ba3978fde0db5bbd |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa656ad5d4819090e677ad137b0cd1 |
completed | March 6, 2026, 5:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adb5db1c7c81908c25e62dca1cb825 |
completed | March 8, 2026, 5:46 p.m. |
Created at: March 4, 2026, 7:32 p.m.