Triple
T32464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bertrand Russell |
E648
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Bertrand
Bertrand is a masculine given name most famously associated with the British philosopher, logician, and Nobel laureate Bertrand Russell.
|
E11918
|
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: Bertrand | Statement: [Bertrand Russell, givenName, Bertrand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bertrand Context triple: [Bertrand Russell, givenName, Bertrand]
-
A.
Pierre
Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
-
B.
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.
-
C.
Andreas
Andreas is a masculine given name of Greek origin, commonly used in various European and international cultures.
-
D.
Russell
Russell is a common English surname most famously associated with legendary Boston Celtics basketball player and civil rights activist Bill Russell.
-
E.
Theodor
Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
- 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: Bertrand Triple: [Bertrand Russell, givenName, Bertrand]
Generated description
Bertrand is a masculine given name most famously associated with the British philosopher, logician, and Nobel laureate Bertrand Russell.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bertrand Target entity description: Bertrand is a masculine given name most famously associated with the British philosopher, logician, and Nobel laureate Bertrand Russell.
-
A.
Pierre
Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
-
B.
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.
-
C.
Andreas
Andreas is a masculine given name of Greek origin, commonly used in various European and international cultures.
-
D.
Russell
Russell is a common English surname most famously associated with legendary Boston Celtics basketball player and civil rights activist Bill Russell.
-
E.
Theodor
Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
- 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_69a2479dec388190967ba648663442c9 |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a2487838f881908ab8eda6c6ae53e4 |
completed | Feb. 28, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a284f82edc819088df09f6fa561ca2 |
completed | Feb. 28, 2026, 6:02 a.m. |
| NEDg | Description generation | batch_69a2856bd38c81908970fa06389b5590 |
completed | Feb. 28, 2026, 6:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a285a3a8648190af4feb64bf91268b |
completed | Feb. 28, 2026, 6:05 a.m. |
Created at: Feb. 28, 2026, 1:44 a.m.