Triple
T13488219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tenable (game show) |
E318560
|
entity |
| Predicate | pictureRound |
—
|
ONDG |
| Object | some questions use visual clues |
—
|
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: some questions use visual clues | Statement: [Tenable (game show), pictureRound, some questions use visual clues]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pictureRound Context triple: [Tenable (game show), pictureRound, some questions use visual clues]
-
A.
circleType
Indicates the specific classification or category of a circle within a given context or system.
-
B.
imageOf
Indicates that one entity is a visual representation or depiction of another entity.
-
C.
squareOriginalName
Indicates that the entity’s name is the original, canonical name of a square (e.g., a public square or plaza), as opposed to an alternate or derived name.
-
D.
ringRadius
Indicates the size of a ring by specifying the distance from its center to its outer edge.
-
E.
publicImage
Indicates how an entity is perceived or represented by the general public or broader audience.
- F. None of above. chosen
Provenance (4 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf3b9b488190bb4e11424ff599c8 |
completed | April 12, 2026, 2:42 p.m. |
| PD | Predicate disambiguation | batch_69dbae06061881909a6a6032e0507587 |
completed | April 12, 2026, 2:36 p.m. |
| PDg | Predicate description generation | batch_69dbaecc98cc8190829f5be759c4f1e3 |
completed | April 12, 2026, 2:40 p.m. |
Created at: April 9, 2026, 9:42 p.m.