Triple
T3251741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Travels of Benjamin the Third |
E68196
|
entity |
| Predicate | mainCharacterDescription |
P21183
|
FINISHED |
| Object | naive Jewish dreamer |
—
|
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: naive Jewish dreamer | Statement: [The Travels of Benjamin the Third, mainCharacterDescription, naive Jewish dreamer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainCharacterDescription Context triple: [The Travels of Benjamin the Third, mainCharacterDescription, naive Jewish dreamer]
-
A.
protagonistDescription
chosen
Indicates that a text provides a descriptive summary or characterization of the story’s main protagonist.
-
B.
mainProtagonist
Indicates that the subject is the central character or primary focus in the narrative of the related work.
-
C.
characterDescription
Indicates that one entity provides a textual description or portrayal of the characteristics, traits, or attributes of another entity.
-
D.
narrativeCharacter
Indicates that one entity functions as a character within the narrative or story associated with another entity.
-
E.
mainCharacterAffiliation
Indicates the group, organization, or side with which the main character is formally or primarily aligned.
- 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_69ad858f74408190bcbd07f967cd7bd0 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf425394819084ae6304da211c00 |
completed | March 8, 2026, 5:17 p.m. |
| PD | Predicate disambiguation | batch_69ada41ae74081909a0d1d696be8e35e |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:09 p.m.