Triple
T3622438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annie Savoy |
E76757
|
entity |
| Predicate | yearOfFictionalDebut |
P7549
|
FINISHED |
| Object | 1988 |
—
|
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: 1988 | Statement: [Annie Savoy, yearOfFictionalDebut, 1988]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfFictionalDebut Context triple: [Annie Savoy, yearOfFictionalDebut, 1988]
-
A.
fictionalUniverseDebut
Indicates the first appearance of an entity within a particular fictional universe or continuity.
-
B.
debutYear
chosen
Indicates the year in which an entity first appeared, was introduced, or made its initial public debut.
-
C.
debutWorkReleaseYear
Indicates the calendar year in which an entity’s first published or publicly released work originally came out.
-
D.
foundedInFictionalYear
Indicates that an entity was established or created in a year that exists only within a fictional or imaginary timeline, rather than in real-world history.
-
E.
firstAppearedAt
Indicates the point in time or specific event at which an entity was first introduced, observed, or became known.
- 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_69ad85dae2fc81908d1ceadbc6af0089 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc2bb12cc8190bd67597cf3b66a3a |
completed | March 8, 2026, 6:40 p.m. |
| PD | Predicate disambiguation | batch_69adb8410a5881909c94818d7060b2b0 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:23 p.m.