Triple
T30605577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sig Hansen |
E779031
|
entity |
| Predicate | startedFishingProfessionallyAtAge |
P198459
|
FINISHED |
| Object | 14 |
—
|
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: 14 | Statement: [Sig Hansen, startedFishingProfessionallyAtAge, 14]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startedFishingProfessionallyAtAge Context triple: [Sig Hansen, startedFishingProfessionallyAtAge, 14]
-
A.
startedDivingAtAge
Indicates the age at which an entity first began engaging in diving.
-
B.
startedTrainingAtAge
Indicates the age at which an entity first began a particular training or practice.
-
C.
startTimeOfProfessionalCareer
Indicates the point in time when an individual’s professional career formally begins.
-
D.
startedRacingAtAge
Indicates that an entity began participating in racing activities at a specified age.
-
E.
beganAmateurCareer
Indicates that an entity started its amateur-level career or involvement in a particular field or activity.
- 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_69f224a21fc08190abd9d8dd9eb6bb4c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fee691952c8190822da83e46311d1d |
completed | May 9, 2026, 7:47 a.m. |
| PD | Predicate disambiguation | batch_69fee62f285c8190a625562a9b80526e |
completed | May 9, 2026, 7:45 a.m. |
| PDg | Predicate description generation | batch_69fee690af688190a845310f102a0c83 |
completed | May 9, 2026, 7:47 a.m. |
Created at: April 29, 2026, 8:25 p.m.