Triple
T169188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louis Armstrong |
E3081
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Louis
Louis is the given name of Louis Armstrong, the legendary American jazz trumpeter and singer.
|
E32075
|
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: Louis | Statement: [Louis Armstrong, givenName, Louis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Louis Context triple: [Louis Armstrong, givenName, Louis]
-
A.
Frederick
Frederick is a historic city in western Maryland known for its well-preserved downtown, Civil War heritage, and role as a regional cultural and economic center.
-
B.
William
William is a common masculine given name of Germanic origin, widely used in English-speaking countries.
-
C.
Thomas
Thomas is the given name of Thomas Malthus, the influential English economist and demographer known for his theories on population growth and resource limits.
-
D.
Jean-Baptiste
Jean-Baptiste is the French given name of the mathematician and physicist Jean-Baptiste Joseph Fourier, known for pioneering Fourier analysis and the study of heat conduction.
-
E.
Louis-Napoléon Bonaparte
Louis-Napoléon Bonaparte was a French statesman who rose from the presidency of the Second Republic to become Emperor Napoleon III, ruling France from 1852 to 1870.
- 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: Louis Triple: [Louis Armstrong, givenName, Louis]
Generated description
Louis is the given name of Louis Armstrong, the legendary American jazz trumpeter and singer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Louis Target entity description: Louis is the given name of Louis Armstrong, the legendary American jazz trumpeter and singer.
-
A.
Frederick
Frederick is a historic city in western Maryland known for its well-preserved downtown, Civil War heritage, and role as a regional cultural and economic center.
-
B.
William
William is a common masculine given name of Germanic origin, widely used in English-speaking countries.
-
C.
Thomas
Thomas is the given name of Thomas Malthus, the influential English economist and demographer known for his theories on population growth and resource limits.
-
D.
Jean-Baptiste
Jean-Baptiste is the French given name of the mathematician and physicist Jean-Baptiste Joseph Fourier, known for pioneering Fourier analysis and the study of heat conduction.
-
E.
Louis-Napoléon Bonaparte
Louis-Napoléon Bonaparte was a French statesman who rose from the presidency of the Second Republic to become Emperor Napoleon III, ruling France from 1852 to 1870.
- 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_69a2524ce1e48190ab066bf72859f474 |
completed | Feb. 28, 2026, 2:26 a.m. |
| NER | Named-entity recognition | batch_69a258b6f4f88190b1264bbbeb19a29e |
completed | Feb. 28, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3736b2ff081909a5b36a93fa16130 |
completed | Feb. 28, 2026, 10:59 p.m. |
| NEDg | Description generation | batch_69a3741398148190b33de6d93ccc0725 |
completed | Feb. 28, 2026, 11:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3746ba85c8190bd45c2a5717317dc |
completed | Feb. 28, 2026, 11:04 p.m. |
Created at: Feb. 28, 2026, 2:34 a.m.