Triple
T33917403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orkan |
E869498
|
entity |
| Predicate | notableHumanAssociatesInFiction |
P88683
|
FINISHED |
| Object | Mindy McConnell |
E519759
|
NE 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: Mindy McConnell | Statement: [Orkan, notableHumanAssociatesInFiction, Mindy McConnell]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableHumanAssociatesInFiction Context triple: [Orkan, notableHumanAssociatesInFiction, Mindy McConnell]
-
A.
notableEmployeeInFiction
Indicates that a person is a particularly prominent or significant employee within a fictional work or universe.
-
B.
notableWorkCharacter
Indicates that a character appears in, is associated with, or plays a role in a particular notable work.
-
C.
fictionalCharacterAssociatedWith
chosen
Indicates that there is a notable connection or association between a fictional character and another entity, such as a work, creator, or universe.
-
D.
hasNotableResidentInFiction
Indicates that a place or entity is notably associated with a fictional character who is depicted as residing there.
-
E.
notableCharacterAffiliation
Indicates that a notable character is formally associated with, aligned to, or a member of a particular group, organization, or affiliation.
- F. None of above.
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_69f3499869bc8190b6c33a81686af226 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037e0953908190b2930b3c06a40129 |
completed | May 12, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3692cc6b7881908c95f16d70da78e4 |
completed | June 20, 2026, 1:17 p.m. |
| PD | Predicate disambiguation | batch_6a0379f6c3308190b954f7810214ceed |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:48 a.m.