Triple
T6585134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Could You Be Loved |
E159200
|
entity |
| Predicate | hasMessage |
P7166
|
FINISHED |
| Object | encourages perseverance despite criticism |
—
|
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: encourages perseverance despite criticism | Statement: [Could You Be Loved, hasMessage, encourages perseverance despite criticism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMessage Context triple: [Could You Be Loved, hasMessage, encourages perseverance despite criticism]
-
A.
hasMessageSender
Indicates that one entity is the sender or originator of a given message.
-
B.
hasMessageNumber
Indicates that an entity is associated with a specific message identified by a particular number in a sequence or set.
-
C.
hasText
chosen
Indicates that an entity is associated with or contains a specific piece of textual content.
-
D.
hasConservationMessage
Indicates that an entity is associated with a message conveying information or guidance about conservation.
-
E.
hasMessenger
Indicates that one entity uses or is associated with another entity as a messenger or intermediary for communication.
- 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_69c688366ce8819083f8883983c0df92 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6c07cdf048190945ca5810fb1de88 |
completed | March 27, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c6acfb462481909cb7aff5af4bca9d |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:54 p.m.