Triple
T31820670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yuyi Morales |
E812247
|
entity |
| Predicate | hasIllustratedWork |
P2386
|
FINISHED |
| Object | Harvesting Hope: The Story of Cesar Chavez |
—
|
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: Harvesting Hope: The Story of Cesar Chavez | Statement: [Yuyi Morales, hasIllustratedWork, Harvesting Hope: The Story of Cesar Chavez]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIllustratedWork Context triple: [Yuyi Morales, hasIllustratedWork, Harvesting Hope: The Story of Cesar Chavez]
-
A.
hasIllustrationsBy
Indicates that one entity (such as a work or publication) includes illustrations that were created by another entity (the illustrator).
-
B.
hasNotableIllustrationsOf
Indicates that something contains or features particularly significant or noteworthy illustrations depicting another entity or subject.
-
C.
hasArtisticWorks
Indicates that an entity possesses, is associated with, or is the creator of one or more artistic works.
-
D.
hasIllustrations
chosen
Indicates that an entity includes or is accompanied by visual illustrations.
-
E.
hasIllustratedCharacters
Indicates that something includes or features characters that are depicted through illustrations.
- 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_69f348e97fa48190aa06286962af6dee |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6af7f24a881909e6ae0d937e90ea2 |
completed | May 3, 2026, 2:14 a.m. |
| PD | Predicate disambiguation | batch_69f6aca59d4881908d14ed47962703bd |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 30, 2026, 11:45 p.m.