Triple
T26107089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theodore Francis Green |
E658565
|
entity |
| Predicate | ageAtRetirement |
P152707
|
FINISHED |
| Object | 93 |
—
|
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: 93 | Statement: [Theodore Francis Green, ageAtRetirement, 93]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageAtRetirement Context triple: [Theodore Francis Green, ageAtRetirement, 93]
-
A.
ageRetired
chosen
Indicates the age at which an entity stopped working in their primary occupation or officially retired.
-
B.
retirementYear
Indicates the specific year in which an entity retires or is officially considered retired.
-
C.
retirementPeriod
Indicates the time span during which an entity is considered to be retired or in retirement status.
-
D.
subjectToRetirementAge
Indicates that an entity is governed by a rule or policy specifying a mandatory or standard age at which retirement is expected or required.
-
E.
mandatoryRetirementAge
Indicates the age at which an individual is required by rule or policy to retire from a position or role.
- 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_69ee5bc09c288190bc42a11972841383 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f607782ce48190a57ade3cfe455c89 |
completed | May 2, 2026, 2:17 p.m. |
| PD | Predicate disambiguation | batch_69f5b0021da88190bdd4cf2698c23edf |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 7:59 p.m.