Triple
T6523410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Loretta Young Show |
E151242
|
entity |
| Predicate | starIs |
P71399
|
FINISHED |
| Object | Academy Award-winning actress |
—
|
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: Academy Award-winning actress | Statement: [The Loretta Young Show, starIs, Academy Award-winning actress]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: starIs Context triple: [The Loretta Young Show, starIs, Academy Award-winning actress]
-
A.
starType
Indicates the classification relationship specifying what type or category of star an astronomical object is.
-
B.
star
Indicates that an entity has been given a special or highlighted status, often marking it as important, featured, or favorited in relation to others.
-
C.
starImage
Indicates that one entity is an image or visual representation of a star or stellar object.
-
D.
starPosition
Indicates the spatial location or coordinates of a star relative to a defined reference frame.
-
E.
isPrimaryStarOf
Indicates that a star serves as the main or central stellar object in relation to a specified system, object, or context.
- 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_69c687f522748190b3058405553cdabd |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ad970afc81909d3231203eacf413 |
completed | March 27, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69c68abbc7148190a8270d47fe10cc31 |
completed | March 27, 2026, 1:48 p.m. |
| PDg | Predicate description generation | batch_69c69f362ee4819090e8fa48caef7d7d |
completed | March 27, 2026, 3:16 p.m. |
Created at: March 27, 2026, 1:45 p.m.