Triple
T5159668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Early Havoc |
E116403
|
entity |
| Predicate | toldInFirstPerson |
P1924
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Early Havoc, toldInFirstPerson, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: toldInFirstPerson Context triple: [Early Havoc, toldInFirstPerson, true]
-
A.
gaveFirsthandExperienceOf
Indicates that one entity directly provided another entity with personal, firsthand experience of something, rather than secondhand or indirect knowledge.
-
B.
narrativePerspective
chosen
Indicates the point of view or vantage from which a narrative is told, specifying the relationship between the storyteller and the events being described.
-
C.
hasAutobiographicalSubject
Indicates that something (such as a work, text, or narrative) has a subject that is the author or creator’s own life or personal experiences.
-
D.
narratorIn
Indicates that one entity serves as the narrator or storytelling voice within the context of another entity (such as a work, scene, or narrative segment).
-
E.
wroteIn
Indicates that an entity authored or composed something using a particular language, medium, or writing system.
- 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_69bd445edb3881909b93b34d260717fc |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79c1354c81908176703b4853c1a4 |
completed | March 20, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_69bd77b0fbb88190851e2d7ae1bdcc09 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:44 p.m.