Triple
T22602207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Lacey |
E574856
|
entity |
| Predicate | parentOf |
P120
|
FINISHED |
| Object | Matthew Lacey |
—
|
NE NERFINISHED |
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 Lacey | Statement: [John Lacey, parentOf, Matthew Lacey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matthew Lacey Context triple: [John Lacey, parentOf, Matthew Lacey]
-
A.
Matthew Lacey
chosen
Matthew Lacey is an individual known primarily as the son of John Lacey.
-
B.
Marc Lacey
Marc Lacey is an American journalist and editor best known for serving in senior leadership roles at The New York Times, including overseeing major news coverage and editorial operations.
-
C.
Jonathan Leathers
Jonathan Leathers is an American former professional soccer defender who played in Major League Soccer after a standout collegiate career at Furman University.
-
D.
Jonathan Loughran
Jonathan Loughran is an American character actor best known for his frequent comedic roles in Adam Sandler films.
-
E.
Jonathan Loughran
Jonathan Loughran is a fun-loving, adventurous human character from the "Hotel Transylvania" animated film series, known for marrying Mavis Dracula and becoming part of her monster family.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245bc11308190b69d794d5d1e0bb6 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1626db69481908ec9f9c7d320d3cb |
completed | April 29, 2026, 1:44 a.m. |
Created at: April 17, 2026, 2:50 p.m.