Triple
T1209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrew Carnegie |
E24
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Andrew
Andrew is a masculine given name of Greek origin meaning "manly" or "brave," widely used in English-speaking countries and beyond.
|
E228
|
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: Andrew | Statement: [Andrew Carnegie, givenName, Andrew]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew Context triple: [Andrew Carnegie, givenName, Andrew]
-
A.
Theodor
Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
-
B.
Douglas
Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
-
C.
Harold A. Wheeler
Harold A. Wheeler was an influential American electrical engineer and inventor known for his pioneering contributions to radio and radar technology.
-
D.
Tim the Beaver
Tim the Beaver is the official mascot of the Massachusetts Institute of Technology, symbolizing the school’s emphasis on engineering, ingenuity, and industriousness.
-
E.
Veritas
Veritas is the Latin word for "truth" and is famously used as the motto of Harvard University.
- 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: Andrew Triple: [Andrew Carnegie, givenName, Andrew]
Generated description
Andrew is a masculine given name of Greek origin meaning "manly" or "brave," widely used in English-speaking countries and beyond.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andrew Target entity description: Andrew is a masculine given name of Greek origin meaning "manly" or "brave," widely used in English-speaking countries and beyond.
-
A.
Theodor
Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
-
B.
Joseph
Joseph is the first name of J. C. R. Licklider, a pioneering computer scientist often regarded as a key figure in the development of the internet and interactive computing.
-
C.
Douglas
Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
-
D.
Harold A. Wheeler
Harold A. Wheeler was an influential American electrical engineer and inventor known for his pioneering contributions to radio and radar technology.
-
E.
Lynn
Lynn is a coastal city in northeastern Massachusetts, known as one of the larger urban centers in the Greater Boston metropolitan area.
- 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_69a22a285828819081a58308fb963df1 |
completed | Feb. 27, 2026, 11:35 p.m. |
| NER | Named-entity recognition | batch_69a230c560548190a57df2421e233775 |
completed | Feb. 28, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a238e0dd0c8190999b824f8f32b9d0 |
completed | Feb. 28, 2026, 12:37 a.m. |
| NEDg | Description generation | batch_69a23cb1d34481909d877c8db2d0a500 |
completed | Feb. 28, 2026, 12:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a23d0072008190b96d3324aeb5e46d |
completed | Feb. 28, 2026, 12:55 a.m. |
Created at: Feb. 27, 2026, 11:36 p.m.