Triple
T8996094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edward Snyder |
E214915
|
entity |
| Predicate | activityStartPeriod |
P10350
|
FINISHED |
| Object | silent film era |
—
|
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: silent film era | Statement: [Edward Snyder, activityStartPeriod, silent film era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: activityStartPeriod Context triple: [Edward Snyder, activityStartPeriod, silent film era]
-
A.
activityStartApprox
Indicates that the start time of an activity is known only approximately, rather than as an exact timestamp.
-
B.
activityTime
chosen
Indicates the time period during which an activity occurs or is scheduled to take place.
-
C.
activityStartContext
Indicates the circumstances, conditions, or situation present at the moment an activity begins.
-
D.
typicalStartPeriod
Indicates the usual or standard time period during which something begins or is initiated.
-
E.
focusPeriodStart
Indicates the point in time at which a specified focus period or interval begins.
- 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_69ca83a05c608190bdfdbdb25e994b39 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc68df33c48190a5017426e59c0bc4 |
completed | April 1, 2026, 12:37 a.m. |
| PD | Predicate disambiguation | batch_69cc5edba0f88190b97401636a076d7a |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:04 p.m.