Triple
T7255901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brenda Malone |
E157720
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Malone |
E157720
|
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: Malone | Statement: [Brenda Malone, familyName, Malone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malone Context triple: [Brenda Malone, familyName, Malone]
-
A.
Malone
chosen
Malone is a common English-language surname borne by numerous notable individuals across sports, entertainment, and public life.
-
B.
Dayman
Dayman is a fictional heroic persona from "It's Always Sunny in Philadelphia," featured in the show's satirical musical storyline.
-
C.
Malone Dies
Malone Dies is a 1951 novel by Samuel Beckett, known as a bleakly comic, introspective work that forms the second part of his famous trilogy exploring identity, consciousness, and decay.
-
D.
Tom Malone
Tom Malone is an American trombonist and multi-instrumentalist best known for his work with The Blues Brothers Band and as a longtime member of the Saturday Night Live Band.
-
E.
Matt Malone
Matt Malone is a relatively common personal name shared by multiple individuals across various professions, including sports, media, and entertainment.
- 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_69c6882d81d4819085f7ff862951ee4f |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6eaa0c76c81909fe43ed6938a13ea |
completed | March 27, 2026, 8:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e523149481909bbc7dd88046e8b0 |
completed | March 28, 2026, 2:26 p.m. |
Created at: March 27, 2026, 2:57 p.m.