Triple
T1660233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marilyn |
E35887
|
entity |
| Predicate | distinctFrom |
P1612
|
FINISHED |
| Object |
Hewitt
Hewitt is a surname and given name shared by various notable individuals across fields such as entertainment, sports, and academia.
|
E188670
|
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: Hewitt | Statement: [Marilyn, distinctFrom, Hewitt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hewitt Context triple: [Marilyn, distinctFrom, Hewitt]
-
A.
Murray
Murray is a masculine given name of Scottish origin that has been borne by various notable figures, including physicist Murray Gell-Mann.
-
B.
Murray
Murray is an electoral district in the New South Wales Legislative Assembly, covering a large rural region in the state's southwest.
-
C.
Steve Johnson
Steve Johnson is a former American basketball player best known as a dominant center for Oregon State University in the late 1970s and early 1980s and later an NBA veteran.
-
D.
Tom Murray
Tom Murray was an American character actor of the silent film era, known for his supporting roles in early Hollywood productions.
-
E.
Dwan
Dwan is the female lead character in the 1976 remake of King Kong, portrayed as the shipwrecked aspiring actress who forms a unique bond with the giant ape.
- 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: Hewitt Triple: [Marilyn, distinctFrom, Hewitt]
Generated description
Hewitt is a surname and given name shared by various notable individuals across fields such as entertainment, sports, and academia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hewitt Target entity description: Hewitt is a surname and given name shared by various notable individuals across fields such as entertainment, sports, and academia.
-
A.
Murray
Murray is a suburban city in the Salt Lake Valley of Utah, known for its central location in the metropolitan area and its mix of residential, commercial, and medical facilities.
-
B.
Murray
Murray is a masculine given name of Scottish origin that has been borne by various notable figures, including physicist Murray Gell-Mann.
-
C.
Murray
Murray is an electoral district in the New South Wales Legislative Assembly, covering a large rural region in the state's southwest.
-
D.
Steve Johnson
Steve Johnson is a former American basketball player best known as a dominant center for Oregon State University in the late 1970s and early 1980s and later an NBA veteran.
-
E.
Tom Murray
Tom Murray was an American character actor of the silent film era, known for his supporting roles in early Hollywood productions.
- 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_69a88606aa808190aa0b421b4271f220 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90ab2a3488190a67c110a70d652c9 |
completed | March 5, 2026, 4:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad682ab8a08190bdb33d79d5083029 |
completed | March 8, 2026, 12:14 p.m. |
| NEDg | Description generation | batch_69ad6be91e1c8190b3db2ba019e77ee3 |
completed | March 8, 2026, 12:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad6d161bd08190a7087d61f2d3a45e |
completed | March 8, 2026, 12:35 p.m. |
Created at: March 4, 2026, 7:29 p.m.