Triple
T22947520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrew Maurice Gold |
E569915
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Andrew Maurice Gold |
—
|
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: Andrew Maurice Gold | Statement: [Andrew Maurice Gold, name, Andrew Maurice Gold]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew Maurice Gold Context triple: [Andrew Maurice Gold, name, Andrew Maurice Gold]
-
A.
Andrew Maurice Gold
chosen
Andrew Maurice Gold was an American singer-songwriter, musician, and producer best known for hits like "Lonely Boy" and "Thank You for Being a Friend."
-
B.
Andrew Goldman
Andrew Goldman is a film editor known for his work on the independent feature "Tiny Furniture."
-
C.
Jeremy Gold
Jeremy Gold is a television producer and executive known for his work on the AMC Western drama series "Hell on Wheels."
-
D.
Andrew Goldstein
Andrew Goldstein is an American songwriter and record producer known for his work with major pop and rock artists across the contemporary music industry.
-
E.
Rob Goldie
Rob Goldie is a cinematographer known for his work on the 2014 film "Son of God."
- 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_69e2459199d08190a8184ee2aa935842 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1819e559c81909e63acfc23f9476b |
completed | April 29, 2026, 3:57 a.m. |
Created at: April 17, 2026, 3:46 p.m.