Triple
T9264684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feynman’s Lost Lecture |
E222666
|
entity |
| Predicate | timeOfOriginalLecture |
P35702
|
FINISHED |
| Object | 1964 |
—
|
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: 1964 | Statement: [Feynman’s Lost Lecture, timeOfOriginalLecture, 1964]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfOriginalLecture Context triple: [Feynman’s Lost Lecture, timeOfOriginalLecture, 1964]
-
A.
presentedAtTime
chosen
Indicates that an event, action, or item was presented or occurred at a specific point in time.
-
B.
originalTimeStatus
Indicates the initial or previously assigned temporal state or scheduling status of an event or action before any updates or changes.
-
C.
timePeriodOrigin
Indicates that one entity is the time period in which the other entity originated or first came into existence.
-
D.
originallyRecordedFor
Indicates that a work or performance was first recorded with the specific purpose of being used, released, or presented in the context of the target entity.
-
E.
courseLength
Indicates the duration or total length of a course, typically measured in units such as hours, weeks, or credits.
- 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_69ca841f2e808190a64f4c31903a1332 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd0748a1f481909d9d876692cefccc |
completed | April 1, 2026, 11:53 a.m. |
| PD | Predicate disambiguation | batch_69cc7a537bbc8190baee71f556e52a7b |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:32 p.m.