Triple
T7445067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Very Hungry Caterpillar |
E171855
|
entity |
| Predicate | hasMottoOrTagline |
P7688
|
FINISHED |
| Object | "The classic children's story" |
—
|
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: "The classic children's story" | Statement: [The Very Hungry Caterpillar, hasMottoOrTagline, "The classic children's story"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMottoOrTagline Context triple: [The Very Hungry Caterpillar, hasMottoOrTagline, "The classic children's story"]
-
A.
hasTagline
chosen
Indicates that an entity is associated with a specific slogan or tagline that represents or promotes it.
-
B.
hasMottoLikeFunction
Indicates that something serves a role or function similar to a motto, typically expressing a guiding principle, slogan, or core message.
-
C.
hasMottoInText
Indicates that an entity has a motto expressed in a specific textual form or wording.
-
D.
hasMottoContext
Indicates that an entity’s motto is associated with or applies within a specific contextual setting or scope.
-
E.
usesMotto
Indicates that one entity adopts or employs a particular motto as its guiding phrase or slogan.
- 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_69c68a65402881908f7869368eb746fb |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f37054388190a6cb4c0db2ca6014 |
completed | March 27, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69c6f039f7248190bb4183f97b605763 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:14 p.m.