Triple
T26870813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry Markopolos |
E676604
|
entity |
| Predicate | firstSECSubmissionYear |
P197946
|
FINISHED |
| Object | 2000 |
—
|
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: 2000 | Statement: [Harry Markopolos, firstSECSubmissionYear, 2000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstSECSubmissionYear Context triple: [Harry Markopolos, firstSECSubmissionYear, 2000]
-
A.
firstEngagementYear
Indicates the calendar year in which an entity first became engaged in a specified relationship, activity, or involvement.
-
B.
firstOfficialClaimYear
Indicates the year in which an entity was first officially claimed, recorded, or recognized in an authoritative capacity.
-
C.
firstTrialYear
Indicates the year in which an entity’s first trial or initial formal testing took place.
-
D.
firstCreationYear
Indicates the year in which something was first created or originally produced.
-
E.
firstReportedYear
Indicates the year in which something was initially reported, documented, or made known for the first time.
- 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_69eee9ba94bc8190b44c5d4397d04ecd |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69febce5877c8190a5e000ef5331ec88 |
completed | May 9, 2026, 4:49 a.m. |
| PD | Predicate disambiguation | batch_69febad1cd588190abc7686bcb39a371 |
completed | May 9, 2026, 4:40 a.m. |
| PDg | Predicate description generation | batch_69febce420b081908e1c052751a22b1f |
completed | May 9, 2026, 4:49 a.m. |
Created at: April 27, 2026, 5:32 a.m.