Triple
T7076637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gheorghe Hagi |
E164835
|
entity |
| Predicate | Ianis Hagi |
P74857
|
FINISHED |
| Object | isAlsoFootballer |
—
|
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: isAlsoFootballer | Statement: [Gheorghe Hagi, Ianis Hagi, isAlsoFootballer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Ianis Hagi Context triple: [Gheorghe Hagi, Ianis Hagi, isAlsoFootballer]
-
A.
Michael Bradley
Indicates a relationship or action involving an entity named Michael Bradley, though the specific nature of the relationship or action is not defined by the predicate alone.
-
B.
Simone Inzaghi
Indicates a relationship or action involving Simone Inzaghi, typically as a participant (such as a player, coach, or subject) in the described context.
-
C.
Axel Merckx
Indicates a relationship or action involving Axel Merckx, typically as the subject or participant in the described event or connection.
-
D.
ACMilanStriker
Indicates that an entity serves in the role of striker (forward) for the football club AC Milan.
-
E.
Jorge Garbajosa_position
Indicates the playing position or role that Jorge Garbajosa occupies in his sport.
- 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_69c6887cbc6c8190bdfac42d940f4d8a |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4ebf4048190bf5d7156817f93a7 |
completed | March 27, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69c6e1bfcb948190a5ada74fb8c054cb |
completed | March 27, 2026, 8 p.m. |
| PDg | Predicate description generation | batch_69c6e4a15b088190bee9a23e94aaac53 |
completed | March 27, 2026, 8:12 p.m. |
Created at: March 27, 2026, 2:40 p.m.