Triple
T6514916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benzino Napaloni |
E148230
|
entity |
| Predicate | workSetDuring |
P71319
|
FINISHED |
| Object | World War II era |
—
|
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: World War II era | Statement: [Benzino Napaloni, workSetDuring, World War II era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workSetDuring Context triple: [Benzino Napaloni, workSetDuring, World War II era]
-
A.
workOn
Indicates that an agent is actively engaged in performing tasks or making progress on a particular project, object, or assignment.
-
B.
setWorkIn
Indicates that an entity assigns or places a work, task, or project into a particular context, location, or setting.
-
C.
performsWorkOf
Indicates that one entity carries out, executes, or fulfills the tasks, functions, or role that are normally associated with another entity.
-
D.
performsWork
Indicates that one entity carries out, executes, or engages in work or tasks for or on behalf of another entity or context.
-
E.
workNumberInSet
Indicates that a particular work number belongs to, or is included within, a specified set of work numbers.
- 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_69c687e68e748190baceb9298f32d3ed |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ac0bea808190aebc2905fb53eeba |
completed | March 27, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69c68ab98c78819081743e614df04e1d |
completed | March 27, 2026, 1:48 p.m. |
| PDg | Predicate description generation | batch_69c69f362ee4819090e8fa48caef7d7d |
completed | March 27, 2026, 3:16 p.m. |
Created at: March 27, 2026, 1:44 p.m.