Triple
T36166420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen of Technicolor |
E1046010
|
entity |
| Predicate | appliedToPersonDateOfBirth |
P19
|
FINISHED |
| Object | 1923-08-10 |
—
|
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: 1923-08-10 | Statement: [Queen of Technicolor, appliedToPersonDateOfBirth, 1923-08-10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliedToPersonDateOfBirth Context triple: [Queen of Technicolor, appliedToPersonDateOfBirth, 1923-08-10]
-
A.
appliedToPersonBornIn
Indicates that something (such as a rule, action, status, or condition) is applied specifically to a person who was born in a particular place.
-
B.
dateOfBirthPrecision
Indicates the level of exactness (e.g., year, month, day) with which an entity’s date of birth is known or recorded.
-
C.
appliesToPersonBirthName
Indicates that the referenced value is used as the birth name of the specified person.
-
D.
subjectBirthDate
Indicates the date on which the subject was born.
-
E.
dateOfBirth
chosen
Indicates the specific calendar date on which an individual or entity 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_69f76e396bc88190b99d221bff9be27a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff691f5ae481908597ce245188d31c |
completed | May 9, 2026, 5:04 p.m. |
| PD | Predicate disambiguation | batch_69ff67ceeeb081909fd00cad166c4b6a |
completed | May 9, 2026, 4:58 p.m. |
Created at: May 3, 2026, 4:08 p.m.