Triple
T28585062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbara Stanwyck as Lee Leander |
E723474
|
entity |
| Predicate | setAroundHoliday |
P164655
|
FINISHED |
| Object | Christmas |
—
|
NE NERFINISHED |
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: Christmas | Statement: [Barbara Stanwyck as Lee Leander, setAroundHoliday, Christmas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: setAroundHoliday Context triple: [Barbara Stanwyck as Lee Leander, setAroundHoliday, Christmas]
-
A.
setDuringHoliday
Indicates that an event, action, or state occurs within the time period of a specified holiday.
-
B.
setAround
Indicates that one entity is positioned or arranged surrounding another entity or a central point.
-
C.
featuresHolidaySetting
Indicates that the subject is set during, or prominently involves, a holiday period or celebration.
-
D.
hasHolidayCustom
Indicates that there is a specific traditional practice or custom associated with a particular holiday.
-
E.
hasHolidayAnalog
Indicates that one entity has a corresponding or comparable counterpart in the context of a holiday or holiday-related tradition.
- 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_69f01d7f92e481909847f5f3f3174a89 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f650cef6c88190b119b2d0ea9ea4cf |
completed | May 2, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69f64cb0d8008190912e1430cfaf92aa |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f64db8ee1881909362701d72ffe282 |
completed | May 2, 2026, 7:17 p.m. |
Created at: April 28, 2026, 4:17 a.m.