Triple
T31601842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | It's Fun to Be Free |
E806366
|
entity |
| Predicate | hasMultipleArrangements |
P192501
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [It's Fun to Be Free, hasMultipleArrangements, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMultipleArrangements Context triple: [It's Fun to Be Free, hasMultipleArrangements, true]
-
A.
hasAlternativeArrangement
Indicates that one entity can be organized, configured, or structured in a different valid way as an alternative to its current or primary arrangement.
-
B.
hasArrangement
Indicates that one entity possesses, follows, or is organized according to a particular configuration, setup, or ordering defined by another entity.
-
C.
hasMultipleMelodies
Indicates that an entity is associated with more than one distinct melody.
-
D.
hasArrangementFor
Indicates that one entity has an established plan, setup, or provision in place to accommodate, support, or serve another entity or purpose.
-
E.
hasLiveArrangement
Indicates that there is an active, ongoing arrangement or agreement currently in effect between the related entities.
- F. None of above. chosen
Provenance (4 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_69f348d54ccc8190a03b5df9a2b40b25 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fd0d0ba5c48190bddb3f0e6637544c |
completed | May 7, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69fd0c4324a8819086c90adf46216e0e |
completed | May 7, 2026, 10:03 p.m. |
| PDg | Predicate description generation | batch_69fd0d0aebac8190868a7714ddb4f1fd |
completed | May 7, 2026, 10:07 p.m. |
Created at: April 30, 2026, 10:33 p.m.