Triple
T37693071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jesse |
E938857
|
entity |
| Predicate | timeSpanOfMainEvents |
P145541
|
FINISHED |
| Object | one night |
—
|
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: one night | Statement: [Jesse, timeSpanOfMainEvents, one night]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeSpanOfMainEvents Context triple: [Jesse, timeSpanOfMainEvents, one night]
-
A.
notableEventPeriod
chosen
Indicates the time span during which a notable or significant event associated with an entity took place.
-
B.
timePeriodOfMajorImportance
Indicates that a particular time period holds significant importance or prominence within a given context or domain.
-
C.
timeBetweenMainEvents
Indicates the duration or interval separating two primary or key events in a sequence or process.
-
D.
timePeriodOfMajorMilitaryActivity
Indicates the time span during which the primary or most significant military operations associated with an entity took place.
-
E.
historicalPeriodOfMajorActivity
Indicates the historical period during which an entity carried out its most significant or influential activities.
- 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_69f76eda6ae48190b3111071eeacc038 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbb084760c8190a1554985d3c3cb7a |
completed | May 6, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69fbadf3cb548190ba3b7514f76b790a |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:18 p.m.