Triple
T28700444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NHL player |
E729535
|
entity |
| Predicate | typicalRetirementAgeRange |
P105765
|
FINISHED |
| Object | mid-30s to early 40s |
—
|
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: mid-30s to early 40s | Statement: [NHL player, typicalRetirementAgeRange, mid-30s to early 40s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalRetirementAgeRange Context triple: [NHL player, typicalRetirementAgeRange, mid-30s to early 40s]
-
A.
ageRetired
Indicates the age at which an entity stopped working in their primary occupation or officially retired.
-
B.
hasFullRetirementAgeRange
chosen
Indicates that there is a defined span of ages during which an entity is considered to have reached full retirement status.
-
C.
typicalAgingPotentialRange
Indicates the usual range of time over which something is expected to age or mature under normal conditions.
-
D.
retirementPeriod
Indicates the time span during which an entity is considered to be retired or in retirement status.
-
E.
retirementPensionNormalStartAge
Indicates the standard or default age at which an individual becomes eligible to begin receiving their retirement pension benefits.
- 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_69f043e6e9688190b6bdd6e5665498ff |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_6a00d8ba18808190976682088a02a9a8 |
completed | May 10, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_6a00d85fad64819084f424ec8ecd3b57 |
completed | May 10, 2026, 7:11 p.m. |
Created at: April 28, 2026, 5:42 a.m.