Triple
T984339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Judy Garland Show |
E21244
|
entity |
| Predicate | starSignificance |
P428
|
FINISHED |
| Object | vehicle for Judy Garland’s television career |
—
|
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: vehicle for Judy Garland’s television career | Statement: [The Judy Garland Show, starSignificance, vehicle for Judy Garland’s television career]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: starSignificance Context triple: [The Judy Garland Show, starSignificance, vehicle for Judy Garland’s television career]
-
A.
starSign
Indicates the astrological zodiac sign associated with a person or entity based on their birth date.
-
B.
eraOfSignificance
Indicates the historical period or timeframe during which an entity was particularly important, influential, or noteworthy.
-
C.
typeOfSignificance
Indicates that one entity specifies the nature or category of importance, relevance, or significance that another entity possesses.
-
D.
significance
chosen
Indicates that one entity holds particular importance, influence, or meaningful impact in relation to another entity or context.
-
E.
starCount
Indicates the number of stars associated with an entity, typically representing a rating, quality level, or count of starred items.
- 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_69a493c383dc8190a03257f22d4b4183 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4959fe48190a78bd811cbc888ab |
completed | March 1, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69a4b2aa219081908a6b0ef786b4aa52 |
completed | March 1, 2026, 9:42 p.m. |
Created at: March 1, 2026, 7:41 p.m.