Triple
T37806919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sapiens: A Brief History of Humankind |
E942527
|
entity |
| Predicate | graphicNovelSeriesTitle |
P125284
|
FINISHED |
| Object | Sapiens: A Graphic History |
—
|
NE NERFINISHED |
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: Sapiens: A Graphic History | Statement: [Sapiens: A Brief History of Humankind, graphicNovelSeriesTitle, Sapiens: A Graphic History]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: graphicNovelSeriesTitle Context triple: [Sapiens: A Brief History of Humankind, graphicNovelSeriesTitle, Sapiens: A Graphic History]
-
A.
comicTitle
chosen
Indicates that one entity is the title or name of a comic associated with another entity.
-
B.
novelTrilogyTitle
Indicates that a given title is the name of a trilogy of novels.
-
C.
appearsInSeriesByPublisher
Indicates that an entity appears in a series that is produced or released by a specified publisher.
-
D.
literarySeries
Indicates that one work is part of, or belongs to, a larger literary series that connects multiple related works.
-
E.
literarySeriesType
Indicates the specific kind or category of a literary series that an entity belongs to or is characterized as.
- 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_69f76ee8104c8190ab17133ccd8f86e6 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbb9e8108c8190ae1c7940b1677e95 |
completed | May 6, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fbb141605c8190b9c27d70352522db |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:19 p.m.