Triple
T20011403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamnet Shakespeare |
E494597
|
entity |
| Predicate | birthRecordType |
P62153
|
FINISHED |
| Object | baptismal record |
—
|
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: baptismal record | Statement: [Hamnet Shakespeare, birthRecordType, baptismal record]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: birthRecordType Context triple: [Hamnet Shakespeare, birthRecordType, baptismal record]
-
A.
birthEvent
Indicates an event in which an entity comes into existence by being born, typically linking the newborn to contextual details such as time, place, and participants.
-
B.
birthStatus
Indicates the condition or circumstances of an entity’s birth, such as whether and how it was born.
-
C.
civilRegistrationCategory
chosen
Indicates the specific type or classification of a civil registration event or record associated with an entity.
-
D.
birthType
Indicates the manner or method by which a birth occurred or was brought about.
-
E.
births
Indicates that one entity gives birth to or produces another entity as its offspring.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6623773d88190826616a02d3c3e69 |
completed | April 20, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69e54cdddbd48190becc8b2aa5ab4ef9 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:33 p.m.