Triple
T22250644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Michaela Quinn |
E549966
|
entity |
| Predicate | dateOfFictionalBirth |
P78440
|
FINISHED |
| Object | 1833 |
—
|
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: 1833 | Statement: [Dr. Michaela Quinn, dateOfFictionalBirth, 1833]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfFictionalBirth Context triple: [Dr. Michaela Quinn, dateOfFictionalBirth, 1833]
-
A.
fictionalBirthDate
Indicates the date on which a fictional character is stated or assumed to have been born within its narrative or canon.
-
B.
fictionalBirthYear
chosen
Indicates the year in which a fictional character is stated or assumed to have been born within its narrative or canon.
-
C.
basedOnFictionalDateIn
Indicates that something is derived from, inspired by, or determined using a fictional date occurring within a specified work, timeline, or fictional context.
-
D.
creatorBirthDate
Indicates the date on which the creator of an entity was born.
-
E.
fictionalBirthName
Indicates the original personal name assigned to a fictional character at birth, as distinct from any later or alternate names they may use.
- 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_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f138bd45e88190919660d50c0b94bc |
completed | April 28, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69e72fe1e0cc8190bd13cff2a0846225 |
completed | April 21, 2026, 8:05 a.m. |
Created at: April 16, 2026, 8:39 p.m.