Triple
T37487328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MacTavish |
E931565
|
entity |
| Predicate | notableInMedium |
P18488
|
FINISHED |
| Object | video games |
—
|
LITERAL 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: video games | Statement: [MacTavish, notableInMedium, video games]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableInMedium Context triple: [MacTavish, notableInMedium, video games]
-
A.
mentionedInMedium
Indicates that one entity is referenced, cited, or discussed within a particular medium (such as an article, video, or broadcast).
-
B.
notableMedia
chosen
Indicates a relationship where a media work is recognized as significant, prominent, or especially relevant in connection with a given entity.
-
C.
featuredMedium
Indicates that one medium (such as an image, video, or other media item) is highlighted or designated as the primary or representative media for another entity.
-
D.
creditedOnMedium
Indicates that an entity is formally acknowledged or listed as a contributor or source on a particular medium (such as a platform, channel, or publication).
-
E.
notableFor
Indicates that an entity is especially recognized or distinguished for a particular quality, achievement, characteristic, or role.
- 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_69f76ec382248190b47844df596123c6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a13a1308190a202df66f4781855 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:17 p.m.