Triple
T21298154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marion Bloom |
E524981
|
entity |
| Predicate | timeOfMonologue |
P143640
|
FINISHED |
| Object | night of 16 June 1904 |
—
|
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: night of 16 June 1904 | Statement: [Marion Bloom, timeOfMonologue, night of 16 June 1904]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfMonologue Context triple: [Marion Bloom, timeOfMonologue, night of 16 June 1904]
-
A.
timeOfDialogue
Indicates the specific time or temporal context at which a dialogue or conversational exchange occurs.
-
B.
chapterCountOfMonologue
Indicates the number of chapters contained within a given monologue.
-
C.
monologueTitle
Indicates the title assigned to a particular monologue.
-
D.
timeOfNarrative
Indicates the specific time or period during which the events of a narrative are set or unfold.
-
E.
intendedDuration
Indicates the planned or expected length of time for which an action, event, or state is meant to occur or remain in effect.
- 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_69e0b517e6748190850d6f6ddf323d69 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7385a24d08190bfd410c7f10fa6f7 |
completed | April 21, 2026, 8:42 a.m. |
| PD | Predicate disambiguation | batch_69e61612ab748190a72b8703b938abcb |
completed | April 20, 2026, 12:03 p.m. |
| PDg | Predicate description generation | batch_69e6190163448190a2404b396215c686 |
completed | April 20, 2026, 12:16 p.m. |
Created at: April 16, 2026, 4:04 p.m.