Triple
T9909913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sergio Lobera |
E185112
|
entity |
| Predicate | hasParticularlyStrongReputationIn |
P87297
|
FINISHED |
| Object | Indian football |
—
|
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: Indian football | Statement: [Sergio Lobera, hasParticularlyStrongReputationIn, Indian football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasParticularlyStrongReputationIn Context triple: [Sergio Lobera, hasParticularlyStrongReputationIn, Indian football]
-
A.
hasReputationAmong
Indicates that an entity is regarded or perceived in a particular way by a specified group or audience.
-
B.
hasProfessionalReputationFor
chosen
Indicates that an entity is recognized by others as being notably associated with a particular professional quality, skill, or behavior.
-
C.
refersToPersonReputation
Indicates that something is about, concerns, or makes reference to a particular person's reputation.
-
D.
hasNotableReputation
Indicates that an entity is widely recognized or distinguished for a particular quality, achievement, or characteristic.
-
E.
partOfAuthorReputationFor
Indicates that something contributes to or constitutes a component of an author's overall reputation for a particular work, domain, or context.
- 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_69ca8296165881908ca4750701af1f29 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb51184d08190a0350f2722110811 |
completed | April 2, 2026, 12:15 a.m. |
| PD | Predicate disambiguation | batch_69cd1d8c584081908b73de75eb18e438 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:41 p.m.