Triple
T6686101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roberto Firmino |
E152101
|
entity |
| Predicate | joinedLiverpoolInYear |
P43965
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [Roberto Firmino, joinedLiverpoolInYear, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: joinedLiverpoolInYear Context triple: [Roberto Firmino, joinedLiverpoolInYear, 2015]
-
A.
joinedManchesterUnited
Indicates that an entity became a member of, or signed to play for, Manchester United.
-
B.
firstSeasonInPremierLeague
Indicates the season in which an entity (typically a football club) first participated in the Premier League.
-
C.
joinedClubYear
chosen
Indicates the specific year in which an entity became a member of a particular club.
-
D.
yearsAsPlayerAtClub
Indicates the number of years a person spent playing for a particular club.
-
E.
joinedInYear
Indicates that an entity became a member of, or started participating in, another entity (such as an organization, group, or institution) in a specified calendar year.
- 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_69c687f9977c819097e7f5ada4fe522e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cd0fa5188190a23281cb09d98139 |
completed | March 27, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69c6ad0d3c1081908dadff7a6a054123 |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2:04 p.m.