Triple
T2305264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Pickford |
E51822
|
entity |
| Predicate | starImage |
P39074
|
FINISHED |
| Object | wholesome youthful heroine |
—
|
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: wholesome youthful heroine | Statement: [Mary Pickford, starImage, wholesome youthful heroine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: starImage Context triple: [Mary Pickford, starImage, wholesome youthful heroine]
-
A.
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.
-
B.
starPosition
Indicates the spatial location or coordinates of a star relative to a defined reference frame.
-
C.
starSign
Indicates the astrological zodiac sign associated with a person or entity based on their birth date.
-
D.
stars
Indicates that one entity marks, highlights, or designates another as special, important, or featured (often by assigning a star or similar marker).
-
E.
largeStarRepresents
Indicates that a large star symbol is used to stand for or denote a particular entity, concept, or value.
- 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_69a88b0bb30c81908ded03b006d29387 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abce1f4f0c8190a714e4dcb8449f7e |
completed | March 7, 2026, 7:05 a.m. |
| PD | Predicate disambiguation | batch_69abc58ce2a081908ce2f0cadd92e9f8 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abce1e7c788190a15890feb2437f1d |
completed | March 7, 2026, 7:05 a.m. |
Created at: March 4, 2026, 7:49 p.m.