Triple
T34619205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colonel Douglas Mortimer |
E888950
|
entity |
| Predicate | leavesTown |
P46825
|
FINISHED |
| Object | after avenging his sister |
—
|
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: after avenging his sister | Statement: [Colonel Douglas Mortimer, leavesTown, after avenging his sister]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leavesTown Context triple: [Colonel Douglas Mortimer, leavesTown, after avenging his sister]
-
A.
attemptsToLeaveTown
Indicates that an entity is trying or making an effort to depart from a particular town.
-
B.
leavesIslandWith
Indicates that an entity departs from an island accompanied by another specified entity.
-
C.
leavesHospitalIn
Indicates that an entity departs from or is discharged from a hospital at a specified time or location.
-
D.
leavesCommunity
Indicates that an entity departs from or is no longer a member of a particular community.
-
E.
departsFrom
chosen
Indicates that an entity (such as a vehicle, person, or process) begins its movement, journey, or operation starting from a specified location or point of origin.
- 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_69f349d584e08190b40b9f6281ad50c4 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7234bcaa48190ac970759d34e254a |
completed | May 3, 2026, 10:28 a.m. |
| PD | Predicate disambiguation | batch_69f72155c48881909bd40b9aa3febd5a |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 2:03 a.m.