Triple
T31884747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nathaniel Lofthouse |
E813977
|
entity |
| Predicate | careerStation |
P172691
|
FINISHED |
| Object | Bolton Wanderers F.C. player |
—
|
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: Bolton Wanderers F.C. player | Statement: [Nathaniel Lofthouse, careerStation, Bolton Wanderers F.C. player]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: careerStation Context triple: [Nathaniel Lofthouse, careerStation, Bolton Wanderers F.C. player]
-
A.
careerWalks
Indicates the total number of bases on balls (walks) a player has received over the course of their entire career.
-
B.
studCareerOwner
Indicates that a particular student is the owner or primary holder of a given academic or professional career record.
-
C.
studCareerAt
Indicates that a student pursued or developed their academic or professional career at a particular institution or organization.
-
D.
careerAssists
Indicates the total number of assists a player has recorded over the entire span of their professional or competitive career.
-
E.
studCareer
Indicates that a student is pursuing or associated with a particular academic or professional career path.
- 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_69f348ed74bc81909846aaa6a3c7318c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6b0daa4988190b78498e7da6a30dd |
completed | May 3, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69f6aca59d4881908d14ed47962703bd |
completed | May 3, 2026, 2:02 a.m. |
| PDg | Predicate description generation | batch_69f6af7d92008190aead47eaae8cc091 |
completed | May 3, 2026, 2:14 a.m. |
Created at: April 30, 2026, 11:57 p.m.