Triple
T13967040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arrigo Sacchi |
E335951
|
entity |
| Predicate | positionPlayedAsPlayer |
P11751
|
FINISHED |
| Object | defender |
—
|
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: defender | Statement: [Arrigo Sacchi, positionPlayedAsPlayer, defender]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionPlayedAsPlayer Context triple: [Arrigo Sacchi, positionPlayedAsPlayer, defender]
-
A.
positionPlayedForTeam
Indicates the specific playing position or role an individual held while participating on a particular team.
-
B.
playsInPosition
chosen
Indicates that an entity (typically a player) performs or operates in a specific role or position within a game, sport, or activity.
-
C.
refersToPositionPlayed
Indicates that one entity specifies or identifies the playing position or role occupied by another entity in a game or sport.
-
D.
positionInLineup
Indicates the specific ordered place an entity occupies within a lineup or sequence of entities.
-
E.
associatedPlayerRole
Indicates a relationship where a specific role or function is linked to, or held by, a particular player.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e8c9e988190a84c9ca8a78b515f |
completed | April 14, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69dd465a21408190b912a42c50ffa0d9 |
completed | April 13, 2026, 7:39 p.m. |
Created at: April 9, 2026, 10:18 p.m.