Triple
T16105624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Anglin |
E390730
|
entity |
| Predicate | inferredDateOfBirth |
P79593
|
FINISHED |
| Object | 1930s (approximate) |
—
|
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: 1930s (approximate) | Statement: [John Anglin, inferredDateOfBirth, 1930s (approximate)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inferredDateOfBirth Context triple: [John Anglin, inferredDateOfBirth, 1930s (approximate)]
-
A.
dateOfBirth
Indicates the specific calendar date on which an individual or entity was born.
-
B.
uncertainBirthDate
chosen
Indicates that the exact birth date of an entity is not known or is only approximately specified.
-
C.
depictsDateOfBirth
Indicates that something visually represents or portrays the date on which a person or entity was born.
-
D.
depictsPersonDateOfBirth
Indicates that the subject is a depiction (e.g., an image or representation) that shows or is associated with the date of birth of a specific person.
-
E.
subjectBirthDate
Indicates the date on which the subject was born.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6d81d081909e1315f4dbfd7369 |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e182804208819087f35307cd6e4103 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5 a.m.