Triple
T14624099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Home |
E343300
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Mark Needham |
E742363
|
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: Mark Needham | Statement: [Home, producer, Mark Needham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Needham Context triple: [Home, producer, Mark Needham]
-
A.
Mark Needham
chosen
Mark Needham is an American record producer, mixer, and audio engineer known for his work with prominent rock and alternative artists, including The Killers.
-
B.
Joel Spolsky
Joel Spolsky is a prominent software engineer, blogger, and entrepreneur best known for co-founding Stack Overflow and the software company Fog Creek Software.
-
C.
Chris Richardson
Chris Richardson is an American singer and songwriter best known as a finalist on the sixth season of "American Idol."
-
D.
Michael Feathers
Michael Feathers is a software engineer, consultant, and author known for his influential work on legacy code, refactoring, and improving software design and maintainability.
-
E.
Alex Heineman
Alex Heineman is a film producer known for his work on the historical thriller "Operation Finale" and other feature films.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb468acc4819083b7e818d5cec809 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda9288e748190bf65a01803265a73 |
completed | May 8, 2026, 9:13 a.m. |
Created at: April 10, 2026, 1:26 a.m.