Triple
T1616818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michele Lamar Richards |
E34736
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object |
Richards
Richards is a common English-language surname borne by numerous notable individuals across fields such as entertainment, politics, sports, and academia.
|
E182856
|
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: Richards | Statement: [Michele Lamar Richards, hasFamilyName, Richards]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richards Context triple: [Michele Lamar Richards, hasFamilyName, Richards]
-
A.
Richardson
Richardson is a suburban city in the Dallas–Fort Worth metropolitan area known for its telecommunications industry and the University of Texas at Dallas.
-
B.
Richie
Richie is the surname of Lionel Richie, the acclaimed American singer, songwriter, and record producer known for his soulful pop and R&B hits.
-
C.
Willard
Willard is a masculine given name of Old English origin meaning "resolute" or "strong-willed."
-
D.
Riggs
Riggs is a surname most notably associated with American playwright Lynn Riggs, whose work inspired the musical "Oklahoma!".
-
E.
Eldridge
Eldridge is an English-language surname of Old English origin, borne by various notable individuals across fields such as politics, the arts, and sports.
- 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: Richards Triple: [Michele Lamar Richards, hasFamilyName, Richards]
Generated description
Richards is a common English-language surname borne by numerous notable individuals across fields such as entertainment, politics, sports, and academia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Richards Target entity description: Richards is a common English-language surname borne by numerous notable individuals across fields such as entertainment, politics, sports, and academia.
-
A.
Richardson
Richardson is a suburban city in the Dallas–Fort Worth metropolitan area known for its telecommunications industry and the University of Texas at Dallas.
-
B.
Richie
Richie is the surname of Lionel Richie, the acclaimed American singer, songwriter, and record producer known for his soulful pop and R&B hits.
-
C.
Willard
Willard is a masculine given name of Old English origin meaning "resolute" or "strong-willed."
-
D.
Riggs
Riggs is a surname most notably associated with American playwright Lynn Riggs, whose work inspired the musical "Oklahoma!".
-
E.
Eldridge
Eldridge is an English-language surname of Old English origin, borne by various notable individuals across fields such as politics, the arts, and sports.
- 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_69a885ffc5ec819091afa325d5f9611c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a909abbec081908f95547471530ad5 |
completed | March 5, 2026, 4:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad51cd2e54819086924378792eb2e3 |
completed | March 8, 2026, 10:39 a.m. |
| NEDg | Description generation | batch_69ad5248af2881909755ae87b4cd0041 |
completed | March 8, 2026, 10:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad52b3dcf081909e73fba891e985b2 |
completed | March 8, 2026, 10:43 a.m. |
Created at: March 4, 2026, 7:28 p.m.