Triple
T5482581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bene Ephraim |
E123500
|
entity |
| Predicate | timePeriodOfPublicEmergence |
P2559
|
FINISHED |
| Object | late 20th century |
—
|
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: late 20th century | Statement: [Bene Ephraim, timePeriodOfPublicEmergence, late 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timePeriodOfPublicEmergence Context triple: [Bene Ephraim, timePeriodOfPublicEmergence, late 20th century]
-
A.
timePeriodOfMajorOutbreak
Indicates the time span during which a major outbreak occurred or was most active.
-
B.
timeOfFirstRevelation
Indicates the specific time at which the first revelation or initial disclosure of something occurred.
-
C.
emergedAround
chosen
Indicates that something came into existence or became noticeable at approximately a particular time or period.
-
D.
firstPublicationPeriod
Indicates the time span during which something was first published or initially made publicly available.
-
E.
yearOfOutbreak
Indicates the specific calendar year in which an outbreak began or was first identified.
- 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_69bd4648883481909e9775d43300c5fa |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd93e5d0f08190a6cc9fc408b7c5bb |
completed | March 20, 2026, 6:37 p.m. |
| PD | Predicate disambiguation | batch_69bd91a73b148190a865243536a4fe76 |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:09 p.m.