Triple
T20136742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Missing Piece |
E491042
|
entity |
| Predicate | hasMinimalText |
P138819
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [The Missing Piece, hasMinimalText, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMinimalText Context triple: [The Missing Piece, hasMinimalText, yes]
-
A.
hasText
Indicates that an entity is associated with or contains a specific piece of textual content.
-
B.
hasNoText
Indicates that the referenced entity or element contains no textual content.
-
C.
hasMinimalInterface
Indicates that one entity provides only the smallest necessary set of methods, features, or interaction points required for another entity to use or interact with it.
-
D.
hasMinimum
Indicates that an entity possesses at least a specified lower bound or smallest allowable value, quantity, or level in relation to another entity or constraint.
-
E.
hasMinimalCast
Indicates that an entity (such as a film or production) involves only a small or minimal number of cast members.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66767ba3881909c2bcb74a986bd29 |
completed | April 20, 2026, 5:50 p.m. |
| PD | Predicate disambiguation | batch_69e54cfb0d0081908e789b9b57e96668 |
completed | April 19, 2026, 9:45 p.m. |
| PDg | Predicate description generation | batch_69e54fc2bc3c819088c33cd263303433 |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 11, 2026, 11:32 p.m.