Triple
T26895476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hakuna Matata duo |
E677886
|
entity |
| Predicate | meaningOfCatchphrase |
P8493
|
FINISHED |
| Object | no worries |
—
|
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: no worries | Statement: [Hakuna Matata duo, meaningOfCatchphrase, no worries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meaningOfCatchphrase Context triple: [Hakuna Matata duo, meaningOfCatchphrase, no worries]
-
A.
meaningOfPhrase
chosen
Indicates that one entity expresses or defines the semantic content or interpretation of a given phrase.
-
B.
apMeaning
Indicates that one entity expresses, conveys, or signifies the meaning or semantic content of another entity.
-
C.
letterMeaning
Indicates that a particular letter conveys a specific meaning, interpretation, or semantic content.
-
D.
stringMeaning
Indicates that one entity represents the semantic content or interpretation of a given string associated with another entity.
-
E.
ermenMeaning
Indicates that one entity represents or conveys the meaning or semantic interpretation of another entity.
- 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_69eee9befee48190a26f214faa867be7 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f657f653448190a945b4751af8507d |
completed | May 2, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69f6575ba12081909396036f78757a76 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 27, 2026, 5:47 a.m.