Triple
T20715411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Len Hutton |
E509156
|
entity |
| Predicate | highestTestScoreYear |
P118793
|
FINISHED |
| Object | 1938 |
—
|
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: 1938 | Statement: [Len Hutton, highestTestScoreYear, 1938]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highestTestScoreYear Context triple: [Len Hutton, highestTestScoreYear, 1938]
-
A.
yearOfHighestTestScore
chosen
Indicates the specific year in which an entity achieved its highest test score.
-
B.
highestTestScore
Indicates that one entity has achieved the greatest test score among a specified set or in a given context.
-
C.
lastTestYear
Indicates the calendar year in which the most recent test or examination associated with the subject took place.
-
D.
lastRecordedIndividualYear
Indicates the calendar year in which the last known individual of a species or population was recorded.
-
E.
highestTestScoreVenue
Indicates the venue at which an entity achieved its highest test score compared to all other venues.
- 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_69e0b4c40ad88190b81f77695366d328 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1d12a9481909cce3711c1c2d9f8 |
completed | April 21, 2026, 12:16 a.m. |
| PD | Predicate disambiguation | batch_69e5c044d1108190b2b5d25de23f6401 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:15 p.m.