Triple
T13479442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corrine Mackey |
E318332
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Matthew Mackey |
E1042341
|
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: Matthew Mackey | Statement: [Corrine Mackey, hasChild, Matthew Mackey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matthew Mackey Context triple: [Corrine Mackey, hasChild, Matthew Mackey]
-
A.
Matthew Mackey
chosen
Matthew Mackey is the son of corrupt LAPD detective Vic Mackey in the television series "The Shield."
-
B.
Jesse Macht
Jesse Macht is an American singer-songwriter and musician known for his melodic pop-rock style and work as a solo artist and band member.
-
C.
Gene Draper
Gene Draper is the infant son of Don and Betty Draper on the television series "Mad Men," named after Betty's late father.
-
D.
Orson Cox
Orson Cox is the son of Scottish actor and physicist-turned-science-communicator Brian Cox.
-
E.
Tyler Hoechlin
Tyler Hoechlin is an American actor best known for roles such as Derek Hale on "Teen Wolf" and Superman/Clark Kent in the Arrowverse series.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf266c508190930d30776c09ce35 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d3afa0c81908733f3fd193d4e0f |
completed | May 3, 2026, 7:08 p.m. |
Created at: April 9, 2026, 9:42 p.m.