Triple
T17379099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robin Lynn Macy |
E422519
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Macy |
—
|
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: Macy | Statement: [Robin Lynn Macy, familyName, Macy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Macy Context triple: [Robin Lynn Macy, familyName, Macy]
-
A.
Macy
chosen
Macy is a surname most prominently associated with R. H. Macy, the founder of the American department store chain Macy’s.
-
B.
Madyson
Madyson is a modern English given name, typically a feminine variant of the name Madison.
-
C.
Macey
Macey is a character in the 2022 dark comedy film "The Estate," which follows a dysfunctional family scheming over an ailing relative’s inheritance.
-
D.
Macey
Macey is the central protagonist of the story "Red Shift," around whom the main events and character developments revolve.
-
E.
Mazie
Mazie is a fictional character appearing in the television miniseries "The Continental: From the World of John Wick," a prequel set in the action-thriller John Wick universe.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a840cd08190af3385388afb8c8f |
completed | April 19, 2026, 2:14 a.m. |
Created at: April 10, 2026, 5:45 a.m.