Triple
T15008869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stuber |
E377781
|
entity |
| Predicate | reviewAggregationSite |
P23408
|
FINISHED |
| Object | Metacritic |
E127936
|
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: Metacritic | Statement: [Stuber, reviewAggregationSite, Metacritic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Metacritic Context triple: [Stuber, reviewAggregationSite, Metacritic]
-
A.
Metacritic
chosen
Metacritic is a review aggregation website that compiles and averages critics’ and users’ scores for films, games, TV shows, and music.
-
B.
Rotten Tomatoes
Rotten Tomatoes is a popular online review aggregation platform that compiles film and television critics’ reviews into a percentage-based “Tomatometer” score.
-
C.
Pitchfork
Pitchfork is an influential online music publication known for its in-depth reviews, features, and coverage of independent and alternative music.
-
D.
Ebert
Ebert is a German surname most notably associated with prominent political figures such as Friedrich Ebert, the first President of Germany, and his son Friedrich Ebert Jr.
-
E.
YTS
YTS is the IATA airport code for Timmins Victor M. Power Airport, a regional airport serving the city of Timmins in Ontario, Canada.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded73348d4819091d9e7f1b0fed822 |
completed | April 15, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe96a52bb08190961e3f18d751fe2a |
completed | May 9, 2026, 2:06 a.m. |
Created at: April 10, 2026, 2:55 a.m.