Triple
T2801241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tora! Tora! Tora! |
E53157
|
entity |
| Predicate | repeatedWord |
P24840
|
FINISHED |
| Object | Tora |
—
|
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: Tora | Statement: [Tora! Tora! Tora!, repeatedWord, Tora]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: repeatedWord Context triple: [Tora! Tora! Tora!, repeatedWord, Tora]
-
A.
maximumRepeaters
Indicates the greatest number of repeaters that are allowed or observed within a given system, connection, or configuration.
-
B.
refrainWord
Indicates that one entity avoids using, mentioning, or expressing a particular word or term in relation to another entity or context.
-
C.
isPlayOnWordsWith
Indicates a relationship where one expression is a pun or wordplay that depends on, echoes, or cleverly twists the wording or meaning of another expression.
-
D.
secondWord
Indicates that one entity is the second word in sequence immediately following the first entity in a text or utterance.
-
E.
repetitionPattern
chosen
Indicates a recurring structure or sequence in which an action, event, or element is repeated over time or across instances.
- 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_69ab495a90788190941b6917e1eca3a6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abde2ec2ac8190bd702ad3eafb6aed |
completed | March 7, 2026, 8:13 a.m. |
| PD | Predicate disambiguation | batch_69abdd059f308190853191f6ffe2bc6f |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:58 p.m.