Triple
T37582015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Secret de Mayerling |
E934995
|
entity |
| Predicate | portraysFictionalizedEvent |
P198175
|
FINISHED |
| Object | Mayerling incident |
—
|
NE NERFINISHED |
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: Mayerling incident | Statement: [Le Secret de Mayerling, portraysFictionalizedEvent, Mayerling incident]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysFictionalizedEvent Context triple: [Le Secret de Mayerling, portraysFictionalizedEvent, Mayerling incident]
-
A.
portraysFictionalized
Indicates that one entity represents or depicts another entity in a fictionalized or altered manner, rather than as a strictly accurate portrayal.
-
B.
fictionalPortrayalOf
chosen
Indicates that one entity is a fictional representation, depiction, or dramatization of another entity.
-
C.
associatedWithFictionalEvent
Indicates that an entity has a connection or involvement with a fictional event, such as being based on, inspired by, or participating in that imagined occurrence.
-
D.
fictionalEventMarked
Indicates that an event is identified or designated as fictional rather than real.
-
E.
portraysFictionalPeriod
Indicates that something (such as a work or representation) depicts or is set in a time period that is fictional rather than historical or contemporary reality.
- 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_69f76ece61dc8190a0ab33f8d87d0a7e |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ffa5f31c8881908c26e2aa52df6ece |
completed | May 9, 2026, 9:24 p.m. |
| PD | Predicate disambiguation | batch_69ffa42aee408190ad1a5f285688b338 |
completed | May 9, 2026, 9:16 p.m. |
Created at: May 3, 2026, 4:17 p.m.