Triple
T36793114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sebastian Wilder in a traffic jam |
E909106
|
entity |
| Predicate | firstMeetingType |
P205051
|
FINISHED |
| Object | nonVerbalEncounter |
—
|
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: nonVerbalEncounter | Statement: [Sebastian Wilder in a traffic jam, firstMeetingType, nonVerbalEncounter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstMeetingType Context triple: [Sebastian Wilder in a traffic jam, firstMeetingType, nonVerbalEncounter]
-
A.
firstMeets
Indicates that one entity encounters or comes into contact with another entity for the first time.
-
B.
firstMeetingSeason
Indicates the season of the year during which two entities first met.
-
C.
firstMeetingDescription
Indicates a textual description of what happened or was communicated during the first meeting between the involved entities.
-
D.
firstMeetingScore
Indicates the evaluated quality or outcome of an entity’s initial meeting or first interaction with another entity.
-
E.
firstMeetingSport
Indicates that the entities first met each other in the context of participating in or attending a sporting activity or event.
- 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_69f76e7a937c81909ed7359641e670f6 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a0e039481908a4a2666f76c5363 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82f8c88190bd77a086023ac0e1 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:12 p.m.