Triple
T23722733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loose Women |
E586187
|
entity |
| Predicate | hasPanelType |
P153711
|
FINISHED |
| Object | all-female panel |
—
|
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: all-female panel | Statement: [Loose Women, hasPanelType, all-female panel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPanelType Context triple: [Loose Women, hasPanelType, all-female panel]
-
A.
hasPanel
Indicates that one entity includes, is equipped with, or is associated with a panel as a component or feature.
-
B.
hasPanelFormat
Indicates that something is associated with a particular panel layout or format used for its presentation or display.
-
C.
hasPanelAppearance
Indicates that an entity features or exhibits a particular panel-based visual or structural appearance.
-
D.
hasPanelComposition
Indicates that something is composed of or structured into multiple panels or panel-like sections.
-
E.
hasBoardType
Indicates that an entity is associated with or uses a specific type or category of board.
- 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_69e24906fb108190a6898751e46bdc11 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b912a7548190afcfa03dd9adc47e |
completed | April 29, 2026, 7:53 a.m. |
| PD | Predicate disambiguation | batch_69f155e4b1148190836ede4741dcb888 |
completed | April 29, 2026, 12:50 a.m. |
| PDg | Predicate description generation | batch_69f15b453da88190889a8d9b21727958 |
completed | April 29, 2026, 1:13 a.m. |
Created at: April 17, 2026, 7:04 p.m.