Triple
T26021513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xbox games |
E647160
|
entity |
| Predicate | notableFranchiseIncludes |
P8079
|
FINISHED |
| Object | Halo |
—
|
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: Halo | Statement: [Xbox games, notableFranchiseIncludes, Halo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableFranchiseIncludes Context triple: [Xbox games, notableFranchiseIncludes, Halo]
-
A.
notableFranchiseAdapted
Indicates that a work has been adapted from a notable franchise into another medium or format.
-
B.
hasNotableFranchise
chosen
Indicates that an entity is associated with a well-known, significant, or widely recognized franchise.
-
C.
notableSeriesFranchise
Indicates that an entity is a significant or well-known installment within a particular series or franchise.
-
D.
notableWorkInFranchise
Indicates that an entity has a significant or well-known work (such as a role, creation, or contribution) within a specific media franchise.
-
E.
includesFranchisesFrom
Indicates that one entity contains or encompasses franchises that originate from 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_69e77e8aa65881909ca58918f29ab2a0 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69fe0d165a48819098b854318a50d76c |
completed | May 8, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69fe0931002481908a95b34f95e9f64e |
completed | May 8, 2026, 4:02 p.m. |
Created at: April 22, 2026, 9:04 a.m.