Triple
T549228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Baldwin |
E11801
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Baldwin
Baldwin is a common English surname of Anglo-Saxon origin that has been borne by numerous notable figures in literature, politics, and entertainment.
|
E70038
|
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: Baldwin | Statement: [James Baldwin, familyName, Baldwin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baldwin Context triple: [James Baldwin, familyName, Baldwin]
-
A.
Barron
Barron is the youngest son of former U.S. President Donald Trump and former First Lady Melania Trump.
-
B.
Benjamin
Benjamin is the given name of Benjamin "Bugsy" Siegel, the notorious American mobster who played a key role in the development of Las Vegas.
-
C.
Rubin
Rubin is a surname most famously associated with American astronomer Vera Rubin, whose work on galaxy rotation curves provided key evidence for the existence of dark matter.
-
D.
Cecil
Cecil is a masculine given name most famously associated with pioneering American film director and producer Cecil B. DeMille.
-
E.
Thomas
Thomas is a common masculine given name of Aramaic origin, widely used in English-speaking and many other cultures.
- 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: Baldwin Triple: [James Baldwin, familyName, Baldwin]
Generated description
Baldwin is a common English surname of Anglo-Saxon origin that has been borne by numerous notable figures in literature, politics, and entertainment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Baldwin Target entity description: Baldwin is a common English surname of Anglo-Saxon origin that has been borne by numerous notable figures in literature, politics, and entertainment.
-
A.
Barron
Barron is the youngest son of former U.S. President Donald Trump and former First Lady Melania Trump.
-
B.
Benjamin
Benjamin is the given name of Benjamin "Bugsy" Siegel, the notorious American mobster who played a key role in the development of Las Vegas.
-
C.
Rubin
Rubin is a surname most famously associated with American astronomer Vera Rubin, whose work on galaxy rotation curves provided key evidence for the existence of dark matter.
-
D.
Cecil
Cecil is a masculine given name most famously associated with pioneering American film director and producer Cecil B. DeMille.
-
E.
Thomas
Thomas is a common masculine given name of Aramaic origin, widely used in English-speaking and many other cultures.
- 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_69a4932941d08190815efd422f0b4ca7 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49901e4e481909a5ed93c21ab37bd |
completed | March 1, 2026, 7:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4e9b92f1c8190bdcf5ae3a07edb3a |
completed | March 2, 2026, 1:36 a.m. |
| NEDg | Description generation | batch_69a4ea5488948190aab4d3ef1696844f |
completed | March 2, 2026, 1:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4eaa40a608190b567fb808b0a7dd1 |
completed | March 2, 2026, 1:40 a.m. |
Created at: March 1, 2026, 7:32 p.m.