Triple
T3405326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matthew Goode |
E71757
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Goode
Goode is an English surname borne by various notable individuals across fields such as acting, politics, and academia.
|
E355795
|
NE FINISHED |
How this triple was built (4 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: Goode | Statement: [Matthew Goode, familyName, Goode]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goode Context triple: [Matthew Goode, familyName, Goode]
-
A.
Lovejoy
Lovejoy is a British television drama series about a roguish yet charming antiques dealer with a knack for spotting valuable items and getting into trouble.
-
B.
Fiske
Fiske is the middle name of Harlan F. Stone, who served as Chief Justice of the United States Supreme Court in the mid-20th century.
-
C.
Gilbert
Gilbert is a rapidly growing suburban town in the southeastern Phoenix metropolitan area known for its family-friendly communities and high quality of life.
-
D.
Gilbert
Gilbert is a masculine given name of Norman-French origin that has been borne by various notable figures, including philosophers, writers, and entertainers.
-
E.
Gilbert
Gilbert is a renowned sports equipment manufacturer best known for producing high-quality rugby balls used in major international competitions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Goode Triple: [Matthew Goode, familyName, Goode]
Generated description
Goode is an English surname borne by various notable individuals across fields such as acting, politics, and academia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Goode Target entity description: Goode is an English surname borne by various notable individuals across fields such as acting, politics, and academia.
-
A.
Lovejoy
Lovejoy is a British television drama series about a roguish yet charming antiques dealer with a knack for spotting valuable items and getting into trouble.
-
B.
Fiske
Fiske is the middle name of Harlan F. Stone, who served as Chief Justice of the United States Supreme Court in the mid-20th century.
-
C.
Gilbert
Gilbert is a masculine given name of Norman-French origin that has been borne by various notable figures, including philosophers, writers, and entertainers.
-
D.
Gilbert
Gilbert is a rapidly growing suburban town in the southeastern Phoenix metropolitan area known for its family-friendly communities and high quality of life.
-
E.
Gilbert
Gilbert is a renowned sports equipment manufacturer best known for producing high-quality rugby balls used in major international competitions.
- F. None of above. chosen
Provenance (5 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_69ad85aac4808190a092c9cc8911f584 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb8eaa41c819095a4d51aec074649 |
completed | March 8, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34bd8c0ec8190bd44d33fc031c845 |
completed | March 12, 2026, 11:27 p.m. |
| NEDg | Description generation | batch_69b34fbd85f081908dc7121e7f68a838 |
completed | March 12, 2026, 11:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b350f1d2988190990417816bf5f028 |
completed | March 12, 2026, 11:49 p.m. |
Created at: March 8, 2026, 3:15 p.m.