Triple
T442724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carles Gil |
E10148
|
entity |
| Predicate | siblingOccupation |
P13234
|
FINISHED |
| Object | professional footballer |
—
|
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: professional footballer | Statement: [Carles Gil, siblingOccupation, professional footballer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: siblingOccupation Context triple: [Carles Gil, siblingOccupation, professional footballer]
-
A.
parentOccupation
Indicates that one entity has an occupation which is the job or profession of the other entity’s parent.
-
B.
spouseOccupation
Indicates that one person’s spouse has a particular job, profession, or occupation.
-
C.
sibling
Indicates that two entities share at least one parent, making them brothers or sisters to each other.
-
D.
fatherOccupation
Indicates the type of job or profession held by a person's father.
-
E.
subjectOccupation
Indicates that the subject holds or performs a particular job, profession, or role as their occupation.
- 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_69a2e8465ef481909655c681b01e2986 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2ef42b4008190abed9d79926c7022 |
completed | Feb. 28, 2026, 1:36 p.m. |
| PD | Predicate disambiguation | batch_69a2edde2b9c8190bd20b582eb4c5065 |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2eeb9e6b0819093863959a6e5730a |
completed | Feb. 28, 2026, 1:33 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.