Triple
T26989141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrew Cunanan |
E679817
|
entity |
| Predicate | addedToFBIListDate |
P161748
|
FINISHED |
| Object | 1997-06-12 |
—
|
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: 1997-06-12 | Statement: [Andrew Cunanan, addedToFBIListDate, 1997-06-12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: addedToFBIListDate Context triple: [Andrew Cunanan, addedToFBIListDate, 1997-06-12]
-
A.
addedTo
Indicates that one entity has been included or incorporated into another entity, typically as a new component, member, or element.
-
B.
integrationDate
Indicates the date on which two or more entities, systems, or components are combined or brought into a unified whole.
-
C.
incorporatedIntoOnDate
Indicates that one entity was formally incorporated into or merged with another entity on a specific date.
-
D.
addedFor
Indicates that one entity was created, included, or introduced specifically for the benefit, use, or purpose of another entity.
-
E.
FIBAMemberSince
Indicates the date or time from which an entity has been a member of FIBA.
- 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_69eeeb5138ac8190b3c273ddc659a54f |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f6218de4ec81908d3001e5b8748c7d |
completed | May 2, 2026, 4:08 p.m. |
| PD | Predicate disambiguation | batch_69f61b3ee7b08190a0a1bc5d26b757aa |
completed | May 2, 2026, 3:41 p.m. |
| PDg | Predicate description generation | batch_69f61f109ef48190873bfe18638d2046 |
completed | May 2, 2026, 3:58 p.m. |
Created at: April 27, 2026, 6:50 a.m.