Triple
T35339375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Selected Letters of Jack Kerouac |
E1020553
|
entity |
| Predicate | timeOfWritingOfLetters |
P194875
|
FINISHED |
| Object | mid-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: mid-20th century | Statement: [Selected Letters of Jack Kerouac, timeOfWritingOfLetters, mid-20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfWritingOfLetters Context triple: [Selected Letters of Jack Kerouac, timeOfWritingOfLetters, mid-20th century]
-
A.
lettersWrittenBetween
Indicates that letters have been written and exchanged between the two entities, reflecting a mutual correspondence.
-
B.
letters
Indicates that one entity is composed of, represented by, or associated with specific alphabetic characters or written symbols.
-
C.
writesLettersTo
Indicates that one entity composes and sends letters directed to another entity.
-
D.
letterWrittenFrom
Indicates that a letter is authored at or sent from a particular origin location or source entity.
-
E.
settingOfManyLetters
Indicates a setting or context in which many letters (such as written messages or characters) occur, are exchanged, or are central to the situation.
- F. None of above. chosen
Provenance (4 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_69f76debb4e08190be52d89b8af2392d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd8ccbd4c88190b13aae0673b3c821 |
completed | May 8, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69fd8ae2227c819089546f5c3629799e |
completed | May 8, 2026, 7:04 a.m. |
| PDg | Predicate description generation | batch_69fd8ccaee848190acd59d7d643ad062 |
completed | May 8, 2026, 7:12 a.m. |
Created at: May 3, 2026, 4:03 p.m.