Triple
T31347920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thneed |
E799499
|
entity |
| Predicate | hasColorInIllustrations |
P67459
|
FINISHED |
| Object | pink |
—
|
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: pink | Statement: [Thneed, hasColorInIllustrations, pink]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColorInIllustrations Context triple: [Thneed, hasColorInIllustrations, pink]
-
A.
hasColorIllustrations
chosen
Indicates that an entity contains or includes illustrations rendered in color.
-
B.
hasIllustrations
Indicates that an entity includes or is accompanied by visual illustrations.
-
C.
hasBlackAndWhiteIllustrations
Indicates that the subject contains or features illustrations rendered in black and white.
-
D.
hasIllustrationsBy
Indicates that one entity (such as a work or publication) includes illustrations that were created by another entity (the illustrator).
-
E.
hasNotableIllustrationsOf
Indicates that something contains or features particularly significant or noteworthy illustrations depicting another entity or subject.
- 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_69f224e51614819083141459a080e97c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a0204dafcc08190868a6f3eab162505 |
completed | May 11, 2026, 4:33 p.m. |
| PD | Predicate disambiguation | batch_6a0202dc60348190a140bb9da906f5b6 |
completed | May 11, 2026, 4:25 p.m. |
Created at: April 29, 2026, 9:17 p.m.