Triple
T17251919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Open Sesame |
E418775
|
entity |
| Predicate | firstKnownIn |
P4114
|
FINISHED |
| Object | medieval Arabic manuscripts of One Thousand and One Nights |
—
|
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: medieval Arabic manuscripts of One Thousand and One Nights | Statement: [Open Sesame, firstKnownIn, medieval Arabic manuscripts of One Thousand and One Nights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstKnownIn Context triple: [Open Sesame, firstKnownIn, medieval Arabic manuscripts of One Thousand and One Nights]
-
A.
firstAppeared
chosen
Indicates the earliest known time or context in which an entity was introduced, observed, or came into existence.
-
B.
firstAppearedAt
Indicates the point in time or specific event at which an entity was first introduced, observed, or became known.
-
C.
premieredIn
Indicates that a creative work first publicly debuted or was initially presented in a particular place, event, or context.
-
D.
originallyPremieredInYear
Indicates the calendar year in which something (such as a work, show, or event) first premiered or was initially released.
-
E.
firstPopularAppearance
Indicates the earliest notable or widely recognized appearance of an entity in a public or popular context.
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e694f788190a1c86e95264ed2fe |
completed | April 19, 2026, 1:22 a.m. |
| PD | Predicate disambiguation | batch_69e3832a284481908a8a3da7ac91de5a |
completed | April 18, 2026, 1:12 p.m. |
Created at: April 10, 2026, 5:39 a.m.