Triple
T38370898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Life: The Biggest Troll [Andrew Auernheimer] |
E892575
|
entity |
| Predicate | hasSpokenWordMonologueBy |
P195866
|
FINISHED |
| Object | Andrew Auernheimer |
—
|
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: Andrew Auernheimer | Statement: [Life: The Biggest Troll [Andrew Auernheimer], hasSpokenWordMonologueBy, Andrew Auernheimer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpokenWordMonologueBy Context triple: [Life: The Biggest Troll [Andrew Auernheimer], hasSpokenWordMonologueBy, Andrew Auernheimer]
-
A.
hasCharacterMonologue
Indicates that a character delivers an extended solo speech or monologue within a narrative or performance.
-
B.
hasSpokenSampleBy
chosen
Indicates that an entity has a spoken or audio sample that was produced or performed by a specified agent.
-
C.
hasSpokenWordIntro
Indicates that an entity includes or features an introductory segment performed in spoken word form.
-
D.
hasWrittenDialogueFor
Indicates that one entity has created or authored dialogue content for another entity, such as a work, project, or production.
-
E.
spokenUntil
Indicates that an act of speaking or verbal communication continues up to a specific time or event and then stops.
- 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_69f76e47cb4c8190bdd92cd1db59c0c5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff1f3f94fc819095955299f50ab4ce |
completed | May 9, 2026, 11:49 a.m. |
| PD | Predicate disambiguation | batch_69ff1ea47748819082f63d9b9d9c3e65 |
completed | May 9, 2026, 11:46 a.m. |
Created at: May 3, 2026, 4:31 p.m.