Triple
T37466466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brendan O'Brien |
E931045
|
entity |
| Predicate | seriesAssociatedWith |
P193213
|
FINISHED |
| Object | Crash Bandicoot (video game series) |
—
|
NE NERFINISHED |
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: Crash Bandicoot (video game series) | Statement: [Brendan O'Brien, seriesAssociatedWith, Crash Bandicoot (video game series)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesAssociatedWith Context triple: [Brendan O'Brien, seriesAssociatedWith, Crash Bandicoot (video game series)]
-
A.
associatedCatalogSeries
Indicates that one entity is linked to a catalog series with which it is grouped, classified, or otherwise contextually connected.
-
B.
seriesRelation
Indicates a relationship where one entity is part of, follows from, or is otherwise connected to another within an ordered series or sequence.
-
C.
seriesBy
Indicates that one entity is the creator, author, or originator of a series to which the other entity belongs.
-
D.
seriesContributedTo
chosen
Indicates that an entity has contributed content, work, or participation to a particular series.
-
E.
seriesWith
Indicates that one entity is part of, or grouped together in, the same series or sequence as another entity.
- F. None of above.
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_69f76ec2af148190897d101070d7f415 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd9ff026a48190bfec33deeb3b2c43 |
completed | May 8, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69fd97d805bc8190ba12f429d3ad04c7 |
completed | May 8, 2026, 7:59 a.m. |
Created at: May 3, 2026, 4:17 p.m.