Triple
T5973038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tata Martino |
E132919
|
entity |
| Predicate | activeAsManager |
P67796
|
FINISHED |
| Object | 21st century |
—
|
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: 21st century | Statement: [Tata Martino, activeAsManager, 21st century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: activeAsManager Context triple: [Tata Martino, activeAsManager, 21st century]
-
A.
associatedWithManager
Indicates that an entity has a managerial connection or relationship with a specific manager.
-
B.
managedIn
Indicates that one entity is administered, operated, or overseen within the scope, control, or jurisdiction of another entity.
-
C.
manager
Indicates that one entity holds a supervisory or administrative role with authority and responsibility over another entity.
-
D.
hasManagement
Indicates that one entity exercises managerial authority or oversight over another entity.
-
E.
managedAct
Indicates that one entity oversaw, directed, or was responsible for carrying out a particular action or activity.
- 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_69c0086deab081908550159ca23eec9b |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04dc2243c8190bd3488e7b24af985 |
completed | March 22, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69c049dcb3c081908ccc9b4d4b210229 |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04dbefd1081909795fe1a812b991a |
completed | March 22, 2026, 8:14 p.m. |
Created at: March 22, 2026, 4:03 p.m.