Triple
T1560860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daisy Bates |
E33319
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Bates
Bates is a common English surname borne by numerous notable individuals across fields such as politics, civil rights, literature, and entertainment.
|
E177426
|
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: Bates | Statement: [Daisy Bates, familyName, Bates]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bates Context triple: [Daisy Bates, familyName, Bates]
-
A.
Harvey
Harvey is a classic 1950 American comedy film in which James Stewart plays a genial man whose best friend is an invisible six-foot-tall rabbit.
-
B.
Harvey
Harvey is the middle name of Lee Harvey Oswald, the alleged assassin of U.S. President John F. Kennedy.
-
C.
Harvey
Harvey is a botanist and taxonomist known for formally describing the plant genus Romneya.
-
D.
Bates Motel
Bates Motel is a contemporary psychological horror–drama television series that serves as a prequel to Alfred Hitchcock’s film Psycho, exploring the twisted relationship between Norman Bates and his mother, Norma.
-
E.
Loomis
Loomis is a surname of English origin borne by various notable individuals across fields such as science, law, and the arts.
- 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: Bates Triple: [Daisy Bates, familyName, Bates]
Generated description
Bates is a common English surname borne by numerous notable individuals across fields such as politics, civil rights, literature, and entertainment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bates Target entity description: Bates is a common English surname borne by numerous notable individuals across fields such as politics, civil rights, literature, and entertainment.
-
A.
Harvey
Harvey is a classic 1950 American comedy film in which James Stewart plays a genial man whose best friend is an invisible six-foot-tall rabbit.
-
B.
Harvey
Harvey is the middle name of Lee Harvey Oswald, the alleged assassin of U.S. President John F. Kennedy.
-
C.
Harvey
Harvey is a botanist and taxonomist known for formally describing the plant genus Romneya.
-
D.
Bates Motel
Bates Motel is a contemporary psychological horror–drama television series that serves as a prequel to Alfred Hitchcock’s film Psycho, exploring the twisted relationship between Norman Bates and his mother, Norma.
-
E.
Loomis
Loomis is a surname of English origin borne by various notable individuals across fields such as science, law, and the arts.
- 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_69a885ef9cf48190b0af0f5ce3d02231 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9088710a881909a1226e4b54311b8 |
completed | March 5, 2026, 4:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad37151ad48190a8c25899b488c68b |
completed | March 8, 2026, 8:45 a.m. |
| NEDg | Description generation | batch_69ad385d931c8190a69b82853ba26a30 |
completed | March 8, 2026, 8:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad38d106348190835d753c6cffcc48 |
completed | March 8, 2026, 8:52 a.m. |
Created at: March 4, 2026, 7:27 p.m.