Triple
T4648711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laertes |
E102235
|
entity |
| Predicate | activityInOldAge |
P32941
|
FINISHED |
| Object | working in his orchard |
—
|
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: working in his orchard | Statement: [Laertes, activityInOldAge, working in his orchard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: activityInOldAge Context triple: [Laertes, activityInOldAge, working in his orchard]
-
A.
laterLifeEvent
chosen
Indicates that one event, condition, or action occurs during a later stage in an entity’s life relative to earlier life phases.
-
B.
turnedSenior
Indicates that an entity has transitioned into senior status or a senior role relative to a previous state or position.
-
C.
activity
Indicates that an entity is engaged in or performing a particular action, behavior, or process.
-
D.
activityType
Indicates the specific kind or category of action or event that an entity is engaged in or associated with.
-
E.
typicalActivity
Indicates that an entity is commonly or characteristically engaged in a particular activity.
- 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_69bd43d71a308190afea7280841b0de8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6632708c8190b627d99363ab062c |
completed | March 20, 2026, 3:22 p.m. |
| PD | Predicate disambiguation | batch_69bd620fc5e081908325ac8e6a6384ab |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:14 p.m.