Triple
T38370902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Life: The Biggest Troll [Andrew Auernheimer] |
E892575
|
entity |
| Predicate | hasFeaturedSpeaker |
P113003
|
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], hasFeaturedSpeaker, Andrew Auernheimer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFeaturedSpeaker Context triple: [Life: The Biggest Troll [Andrew Auernheimer], hasFeaturedSpeaker, Andrew Auernheimer]
-
A.
hasNotableSpeaker
chosen
Indicates that an event, gathering, or occasion features a speaker who is distinguished or noteworthy in some significant way.
-
B.
hasFeatured
Indicates that one entity has prominently included, highlighted, or showcased another entity in a special or notable way.
-
C.
hasSpeakerIn
Indicates that an event, work, or communication features a particular entity serving as its speaker.
-
D.
hasSpeakersIn
Indicates that an entity (such as an event, conference, or session) includes or is associated with speakers located in or belonging to a specified place or group.
-
E.
hasSpeakersAmong
Indicates that a group, event, or entity includes one or more speakers drawn from a specified set or category.
- 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_69fd389cb28c819099a77e28d25f258a |
completed | May 8, 2026, 1:13 a.m. |
| PD | Predicate disambiguation | batch_69fd3826d8048190ada79a5868d1d7f3 |
completed | May 8, 2026, 1:11 a.m. |
Created at: May 3, 2026, 4:31 p.m.