Triple
T23264973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irving v Penguin Books Ltd |
E588119
|
entity |
| Predicate | defenceUsed |
P151595
|
FINISHED |
| Object | justification |
—
|
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: justification | Statement: [Irving v Penguin Books Ltd, defenceUsed, justification]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: defenceUsed Context triple: [Irving v Penguin Books Ltd, defenceUsed, justification]
-
A.
defensiveUse
Indicates that an entity uses something primarily for protection or defense against threats or attacks.
-
B.
defenceHandledBy
Indicates that responsibility for managing or conducting a defence is assigned to or carried out by a particular agent or entity.
-
C.
providesDefence
Indicates that one entity offers protection or defensive support to another entity.
-
D.
defends
Indicates that one entity protects or supports another entity against attack, criticism, or harm.
-
E.
defenceCategory
Indicates a classification relationship where an entity is assigned to a specific type or category of defence.
- 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_69e25d148adc819088efbf42672604e9 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f194cc3b908190aaefd036aa2b52b5 |
completed | April 29, 2026, 5:19 a.m. |
| PD | Predicate disambiguation | batch_69effce4d704819092826931d430e8c4 |
completed | April 28, 2026, 12:18 a.m. |
| PDg | Predicate description generation | batch_69f01d8770d081908897c28b04e5faea |
completed | April 28, 2026, 2:37 a.m. |
Created at: April 17, 2026, 4:29 p.m.