Triple
T21002740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oh! How I Hate to Get Up in the Morning |
E517336
|
entity |
| Predicate | hasExclamationMarkInTitle |
P142434
|
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: [Oh! How I Hate to Get Up in the Morning, hasExclamationMarkInTitle, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExclamationMarkInTitle Context triple: [Oh! How I Hate to Get Up in the Morning, hasExclamationMarkInTitle, true]
-
A.
hasTitleQuestionMark
Indicates that an entity’s title or name includes a question mark character.
-
B.
hasTitleIn
Indicates that an entity holds or is associated with a specific title within a particular context, domain, or language.
-
C.
hasAsteriskInTitle
Indicates that the entity’s title contains at least one asterisk character.
-
D.
containsTitle
Indicates that one entity includes or holds another entity’s title as part of its content or metadata.
-
E.
hasTitleInName
Indicates that an entity’s name explicitly includes a specified title as part of it.
- 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_69e0b50192308190a284fcc89dd23a49 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc38b8688190860fba1b58e1b3e6 |
completed | April 21, 2026, 4:25 a.m. |
| PD | Predicate disambiguation | batch_69e5dbec80708190a49bccab7ff97e7b |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2df1a888190b5b478e76bdf7fdf |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 1:52 p.m.