Triple
T15451634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matthew Good |
E371666
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Good |
E75987
|
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: Good | Statement: [Matthew Good, familyName, Good]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Good Context triple: [Matthew Good, familyName, Good]
-
A.
Good
"Good" is a song featured on the release "More Fish," likely contributing to the project’s overall hip-hop sound and thematic style.
-
B.
Good
chosen
Good is a surname of English origin borne by various individuals, including historical figures such as Sarah Good of Salem witch trials notoriety.
-
C.
Good
Good is a British television drama film exploring moral dilemmas in 1930s Nazi Germany, adapted from C. P. Taylor’s stage play of the same name.
-
D.
Good Good
"Good Good" is a pop-R&B song performed by British singer Vanessa White, known from the girl group The Saturdays, as part of her solo music work.
-
E.
Gutes
The Gutes were the North Germanic inhabitants of the Baltic island of Gotland, known for their distinct Gutnish language and extensive Viking Age trade networks.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03efaf82c81908b464e37ce9c159a |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21b1e9688190a283dbc552072ce0 |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:30 a.m.