Triple
T19559284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kristen Maloney |
E489399
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Maloney |
—
|
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: Maloney | Statement: [Kristen Maloney, familyName, Maloney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maloney Context triple: [Kristen Maloney, familyName, Maloney]
-
A.
Maloney
chosen
Maloney is a surname most notably associated with American actress Dorothy Malone, known for her roles in classic Hollywood films and television.
-
B.
Moloney
Moloney is an Irish-origin surname borne by various notable individuals in fields such as entertainment, sports, and politics.
-
C.
Mahoney
Mahoney is a surname of Irish origin borne by various notable individuals across fields such as politics, sports, and entertainment.
-
D.
Mullaney
Mullaney is a surname of Irish origin borne by various notable individuals in sports, politics, and the arts.
-
E.
Malone
Malone is a common English-language surname borne by numerous notable individuals across sports, entertainment, and public life.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63f723d5081909553a4363b579a6b |
completed | April 20, 2026, 3 p.m. |
Created at: April 10, 2026, 1:42 p.m.