Triple
T38599754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elvira Madigan |
E934175
|
entity |
| Predicate | yearNicknamePopularized |
P191278
|
FINISHED |
| Object | 1967 |
—
|
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: 1967 | Statement: [Elvira Madigan, yearNicknamePopularized, 1967]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearNicknamePopularized Context triple: [Elvira Madigan, yearNicknamePopularized, 1967]
-
A.
nicknameOfYear
Indicates that a given nickname is used to refer to or characterize a particular year.
-
B.
nicknamedFor
Indicates that one entity serves as the source, inspiration, or reason for another entity’s nickname.
-
C.
nationalPopularity
Indicates the degree to which something is liked, recognized, or supported by people across an entire nation.
-
D.
isPopularNicknameIn
Indicates that a given name or label is widely used and commonly recognized as a nickname within a specified group, region, culture, or context.
-
E.
yearOfPopularRelease
Indicates the year in which a work (such as a song, film, or product) was first widely released or gained broad public availability or popularity.
- F. None of above. chosen
Provenance (4 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_69f76ecc17688190b389b693a5927501 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdb0de8c08190928cd1323f80ab5c |
completed | May 7, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69fcd9017dd88190b32a73fe78909740 |
completed | May 7, 2026, 6:25 p.m. |
| PDg | Predicate description generation | batch_69fcdb0cf6008190b27046b694f84356 |
completed | May 7, 2026, 6:33 p.m. |
Created at: May 3, 2026, 4:32 p.m.