Triple
T26231842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SOFI TUKKER |
E656052
|
entity |
| Predicate | usesPoetryOf |
P106248
|
FINISHED |
| Object | Chacal |
—
|
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: Chacal | Statement: [SOFI TUKKER, usesPoetryOf, Chacal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesPoetryOf Context triple: [SOFI TUKKER, usesPoetryOf, Chacal]
-
A.
usesPoeticProgram
Indicates that one entity employs or applies a poetic program—such as a structured, rule-based, or stylistically poetic system—in relation to another entity or context.
-
B.
usesPoetryCollection
chosen
Indicates that one entity employs or makes use of a poetry collection in performing an action, fulfilling a function, or supporting some activity or process.
-
C.
usedByPoet
Indicates that something (such as a word, style, device, or object) is employed or utilized by a poet.
-
D.
usesPoetryFromPeriod
Indicates that one entity employs or incorporates poetry originating from a specific historical or literary period.
-
E.
favoritePoet
Indicates that one entity is the poet whom another entity prefers above all other poets.
- 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_69ee5b4b8b408190993da38c0067cc8d |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a731508190bb0c8c2462eba224 |
completed | May 2, 2026, 7:33 p.m. |
Created at: April 26, 2026, 9 p.m.