Triple
T29587136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Valjean (Volume V) |
E754048
|
entity |
| Predicate | legacyInNarrative |
P167485
|
FINISHED |
| Object | leaves example of selfless love |
—
|
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: leaves example of selfless love | Statement: [Jean Valjean (Volume V), legacyInNarrative, leaves example of selfless love]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legacyInNarrative Context triple: [Jean Valjean (Volume V), legacyInNarrative, leaves example of selfless love]
-
A.
narrativeTradition
Indicates the storytelling customs, conventions, or patterns that shape how narratives are typically told within a particular culture, group, or context.
-
B.
historicalNarrative
Indicates that one entity presents or constitutes a story or account about past events involving another entity.
-
C.
coreNarrative
Indicates the primary storyline or central sequence of events that forms the main thread of a narrative.
-
D.
heritageInFiction
Indicates that a work of fiction features or references a particular cultural, national, or historical heritage as part of its narrative or setting.
-
E.
foundedInNarrative
Indicates that an entity is established or created within the context of a specific narrative or story, rather than in real-world history.
- 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_69f0ef836ac88190bd809dc58b5ec907 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f66d7f46c481908cab81ff3be2b98b |
completed | May 2, 2026, 9:32 p.m. |
| PD | Predicate disambiguation | batch_69f6659d36208190b01412600a4ed57d |
completed | May 2, 2026, 8:59 p.m. |
| PDg | Predicate description generation | batch_69f6691da93081909deaf680614fc900 |
completed | May 2, 2026, 9:14 p.m. |
Created at: April 28, 2026, 6:11 p.m.