Triple
T16329067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Time Agent |
E396499
|
entity |
| Predicate | canEncounter |
P10096
|
FINISHED |
| Object | alternate versions of individuals |
—
|
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: alternate versions of individuals | Statement: [Time Agent, canEncounter, alternate versions of individuals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canEncounter Context triple: [Time Agent, canEncounter, alternate versions of individuals]
-
A.
hasNotableTribeAtEncounter
Indicates that, at the time of the encounter, the entity was associated with or identified as belonging to a notable tribe.
-
B.
canVisit
Indicates that one entity is permitted or able to go to or access another entity or location.
-
C.
mayMeet
chosen
Indicates that one entity is permitted or has the possibility to meet or come together with another entity.
-
D.
encountersCharacter
Indicates that one character comes into contact with or meets another character, typically within a particular situation or context.
-
E.
mayMeetAt
Indicates that two or more entities are permitted or able to have a meeting or encounter at a specified place or time.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2c4ddc5608190b24fe2e871691470 |
completed | April 17, 2026, 11:40 p.m. |
| PD | Predicate disambiguation | batch_69e226eba9b48190af6e80d3d1c2aed3 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:07 a.m.