Triple
T4363572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terence McKenna |
E98717
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | McKenna |
E271862
|
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: McKenna | Statement: [Terence McKenna, familyName, McKenna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: McKenna Context triple: [Terence McKenna, familyName, McKenna]
-
A.
McKenna
chosen
McKenna is a surname of Irish origin commonly borne by individuals of Gaelic heritage.
-
B.
Tiera Kennedy
Tiera Kennedy is an American country singer-songwriter known for her soulful vocals and rising presence in contemporary country music.
-
C.
Sarah McKean
Sarah McKean was the daughter of American statesman and Declaration of Independence signer Thomas McKean, noted in historical records primarily through her connection to his prominent political family.
-
D.
Kennedie
Kennedie is a given name that functions as an alternative spelling variant of the more common name Kennedy.
-
E.
Mimi Kennedy
Mimi Kennedy is an American actress and author known for her work in film, television, and theater, including roles in series like "Dharma & Greg" and "Mom."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69b3454c772081908e20173e379e8ebe |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351e70a748190af6f1b709a0e75e6 |
completed | March 12, 2026, 11:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5dbc925d881909fac944bc7ce5407 |
completed | March 14, 2026, 10:06 p.m. |
Created at: March 12, 2026, 11:16 p.m.