Triple
T34938715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | What Is It? |
E1007652
|
entity |
| Predicate | firstCollectionAppearance |
P199389
|
FINISHED |
| Object | Will You Please Be Quiet, Please? |
E1998770
|
NE 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: Will You Please Be Quiet, Please? | Statement: [What Is It?, firstCollectionAppearance, Will You Please Be Quiet, Please?]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstCollectionAppearance Context triple: [What Is It?, firstCollectionAppearance, Will You Please Be Quiet, Please?]
-
A.
firstNamedAppearance
Indicates the point or context in which an entity is first explicitly named or mentioned.
-
B.
firstAppearanceAct
Indicates the act in which an entity makes its first appearance within a work or performance.
-
C.
firstAppeared
Indicates the earliest known time or context in which an entity was introduced, observed, or came into existence.
-
D.
firstNotedCollection
chosen
Indicates the collection in which something was first recorded, documented, or recognized.
-
E.
firstAppearanceFor
Indicates that an entity marks the initial occurrence or debut of another entity within a given context or medium.
- F. None of above.
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_69f76dc513fc819084a1ff52abbfa5bc |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a37bd07b1088190a377b684edd3f93e |
completed | June 21, 2026, 10:29 a.m. |
| PD | Predicate disambiguation | batch_6a0379ff1ba081908eda86acefcf69fb |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4 p.m.