Triple
T25955476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hâlâ Ciddiyim |
E654082
|
entity |
| Predicate | hasWittyCommentaryBy |
P22246
|
FINISHED |
| Object | Gülse Birsel |
—
|
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: Gülse Birsel | Statement: [Hâlâ Ciddiyim, hasWittyCommentaryBy, Gülse Birsel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWittyCommentaryBy Context triple: [Hâlâ Ciddiyim, hasWittyCommentaryBy, Gülse Birsel]
-
A.
isWitty
Indicates that an entity consistently displays quick, clever, and humorous expression or behavior.
-
B.
hasWittyLyrics
Indicates that the subject contains or is characterized by clever, humorous, or sharply amusing lyrics.
-
C.
hasCommentaryOn
chosen
Indicates that one entity provides commentary, explanation, or evaluative remarks about another entity.
-
D.
hasCommentaryIn
Indicates that an entity is discussed, analyzed, or annotated within a specific commentary work or source.
-
E.
commentatedFor
Indicates that one entity provided live or recorded commentary or analysis for an event, performance, or broadcast on behalf of another entity (such as an organization, channel, or client).
- 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_69e7ab40ac788190a771bc499eb1ae5f |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6049c6bbc8190ac502c85741eefd3 |
completed | May 2, 2026, 2:05 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fba5248190945acf1561280799 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 22, 2026, 8:44 a.m.