Triple
T35702658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roxy Richter |
E1031626
|
entity |
| Predicate | settingOfFight |
P56733
|
FINISHED |
| Object | Toronto nightclub |
—
|
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: Toronto nightclub | Statement: [Roxy Richter, settingOfFight, Toronto nightclub]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingOfFight Context triple: [Roxy Richter, settingOfFight, Toronto nightclub]
-
A.
settingOfConflict
chosen
Indicates the location or context in which a conflict between entities takes place.
-
B.
fightingPreference
Indicates a relationship where one entity has a favored way, style, or choice of engaging in fights or combat relative to others.
-
C.
fightType
Indicates the specific category or style of fight associated with an event or interaction between entities.
-
D.
tacticalSetting
Indicates a relationship where an entity is placed into or associated with a specific tactical context, configuration, or situation for operational purposes.
-
E.
settingOfFinalFate
Indicates the place or context in which an entity’s ultimate outcome, destiny, or final fate occurs.
- 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_69f76e0d393c8190b6303c64408736db |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd553d7cb881908d243e7a9f30ac85 |
completed | May 8, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69fd514dcb1c81908333c70d7edd79c9 |
completed | May 8, 2026, 2:58 a.m. |
Created at: May 3, 2026, 4:05 p.m.