Triple
T4176522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eoin Colfer |
E86489
|
entity |
| Predicate | writesForAudience |
P54225
|
FINISHED |
| Object | children |
—
|
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: children | Statement: [Eoin Colfer, writesForAudience, children]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: writesForAudience Context triple: [Eoin Colfer, writesForAudience, children]
-
A.
writtenForCharacter
Indicates that a piece of writing (such as a script, scene, or dialogue) was specifically created or tailored for a particular character.
-
B.
writesLanguage
Indicates that an entity produces written content in a particular language.
-
C.
writtenIn
Indicates that a work (such as a text, program, or document) is expressed or encoded using a particular language or notation.
-
D.
originallyWrittenFor
Indicates that a work was initially created or composed with a particular recipient, medium, context, or purpose in mind.
-
E.
writtenForPerformer
Indicates that a work was specifically composed or created to be performed by a particular performer or type of performer.
- 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_69aed93de98c8190ad838ce507b77c8a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af07078cb081909f64326b12522410 |
completed | March 9, 2026, 5:44 p.m. |
| PD | Predicate disambiguation | batch_69af019155448190b19868583272513f |
completed | March 9, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69af07059d288190a1ea79449414fbce |
completed | March 9, 2026, 5:44 p.m. |
Created at: March 9, 2026, 3:45 p.m.