Triple
T35356081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anne Weying |
E1021329
|
entity |
| Predicate | hasBeenHostOf |
P189479
|
FINISHED |
| Object | Venom symbiote |
—
|
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: Venom symbiote | Statement: [Anne Weying, hasBeenHostOf, Venom symbiote]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBeenHostOf Context triple: [Anne Weying, hasBeenHostOf, Venom symbiote]
-
A.
coHostOf
Indicates a relationship where two or more entities jointly host the same event, program, or activity together.
-
B.
wasGuestHostOf
Indicates that one entity temporarily served as a guest host for another entity’s show, program, or event.
-
C.
hasBeenHostedIn
Indicates that an event, show, or activity took place or was conducted at a particular location or venue in the past.
-
D.
hasHostedVenue
Indicates that a particular venue has served as the location for hosting a specific event or activity.
-
E.
isAnnualHostOf
Indicates that an entity regularly serves as the recurring host of a particular event or activity each year.
- 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_69f76def44c881908a20e8008572eb44 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd13595c81908719f52c3d37a7e8 |
completed | May 6, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69fbc36bcac48190a726b40442c094d1 |
completed | May 6, 2026, 10:40 p.m. |
Created at: May 3, 2026, 4:03 p.m.