Triple
T21741158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Passarella |
E536660
|
entity |
| Predicate | yearsAsManager |
P70411
|
FINISHED |
| Object | Argentina: 1994–1998 |
—
|
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: Argentina: 1994–1998 | Statement: [Daniel Passarella, yearsAsManager, Argentina: 1994–1998]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearsAsManager Context triple: [Daniel Passarella, yearsAsManager, Argentina: 1994–1998]
-
A.
workYear
Indicates the specific year or span of years during which an entity (such as a person or organization) was engaged in work or employment.
-
B.
timeInCareer
Indicates the point or duration within an entity’s professional or occupational trajectory at which a related event, status, or condition occurs.
-
C.
timeAsManagerStart
Indicates the point in time when an entity first began serving in a managerial role over another entity.
-
D.
activeAsManagerDuring
chosen
Indicates that an entity holds and performs the role of manager for another entity throughout a specified time period.
-
E.
teamTenure
Indicates the duration or length of time an entity has been part of a particular team.
- 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_69e0c46df5448190b4322127ffc4c690 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01a7250d48190aa63f89db017ef70 |
completed | April 28, 2026, 2:24 a.m. |
| PD | Predicate disambiguation | batch_69e6969c16fc8190b5126c169317d85d |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:49 p.m.