Triple
T1327950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Game 7 |
E28372
|
entity |
| Predicate | hasMediaPerception |
P17784
|
FINISHED |
| Object | highly marketable event |
—
|
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: highly marketable event | Statement: [Game 7, hasMediaPerception, highly marketable event]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMediaPerception Context triple: [Game 7, hasMediaPerception, highly marketable event]
-
A.
hasPerception
Indicates that one entity is aware of, senses, or recognizes another entity or phenomenon.
-
B.
hasPerceptualQuality
Indicates that something possesses a particular sensory or perceptual characteristic, such as a color, sound, texture, taste, or smell.
-
C.
hasCommonMedia
Indicates that two entities share at least one media item (such as an image, video, or audio file) in common.
-
D.
publicPerception
chosen
Indicates how an individual, group, or entity is viewed, judged, or regarded by the general public or society at large.
-
E.
hasCamera
Indicates that an entity is equipped with or possesses a camera.
- 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_69a498540a2481909e807a762280d3ba |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1c1d8188190b15a641a08345adc |
completed | March 1, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69a4beef6a188190996f8775bdda8f6c |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:55 p.m.