Triple
T2172442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | If I Only Had a Brain |
E48455
|
entity |
| Predicate | isFrequentlyCovered |
P37383
|
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: [If I Only Had a Brain, isFrequentlyCovered, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFrequentlyCovered Context triple: [If I Only Had a Brain, isFrequentlyCovered, true]
-
A.
isFrequently
Indicates that an action, state, or relationship occurs often or with high regularity between the related entities.
-
B.
isFrequentlyRecorded
Indicates that an entity is captured or documented many times within a given dataset, medium, or context.
-
C.
isCoveredBy
Indicates that one entity is physically or conceptually overlaid, protected, or enclosed by another entity.
-
D.
hasCoverage
Indicates that one entity provides insurance or protection coverage for another entity or subject.
-
E.
alsoCovers
Indicates that something extends its scope or applicability to include an additional subject, area, or case beyond what was originally covered.
- 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_69a88aa3faa48190995b233af6525815 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc1559ff481908efe3f214b2570dc |
completed | March 7, 2026, 6:10 a.m. |
| PD | Predicate disambiguation | batch_69abbd9efc1c81909a65044a1ffc9038 |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abc153b22481908115e5f582c93f12 |
completed | March 7, 2026, 6:10 a.m. |
Created at: March 4, 2026, 7:45 p.m.