Triple
T257138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alfred P. Sloan |
E5460
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Sloan
Sloan is a surname most notably associated with Alfred P. Sloan, the influential long-time president and chairman of General Motors.
|
E33124
|
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: Sloan | Statement: [Alfred P. Sloan, familyName, Sloan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sloan Context triple: [Alfred P. Sloan, familyName, Sloan]
-
A.
Sullivan
Sullivan is a shortened name for the international law firm Sullivan & Worcester LLP, known for its corporate, tax, and financial legal services.
-
B.
Elliott
Elliott is a masculine given name of English origin, often used as both a first name and a surname.
-
C.
Jacobs
Jacobs is a surname most notably associated with Harriet Jacobs, the African-American writer and abolitionist who authored the influential slave narrative "Incidents in the Life of a Slave Girl."
-
D.
Soral
Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
-
E.
Bardeen
Bardeen is a surname most notably associated with John Bardeen, the American physicist who won the Nobel Prize in Physics twice for his work on the transistor and superconductivity.
- 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: Sloan Triple: [Alfred P. Sloan, familyName, Sloan]
Generated description
Sloan is a surname most notably associated with Alfred P. Sloan, the influential long-time president and chairman of General Motors.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sloan Target entity description: Sloan is a surname most notably associated with Alfred P. Sloan, the influential long-time president and chairman of General Motors.
-
A.
Sullivan
Sullivan is a shortened name for the international law firm Sullivan & Worcester LLP, known for its corporate, tax, and financial legal services.
-
B.
Elliott
Elliott is a masculine given name of English origin, often used as both a first name and a surname.
-
C.
Jacobs
Jacobs is a surname most notably associated with Harriet Jacobs, the African-American writer and abolitionist who authored the influential slave narrative "Incidents in the Life of a Slave Girl."
-
D.
Soral
Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
-
E.
Bardeen
Bardeen is a surname most notably associated with John Bardeen, the American physicist who won the Nobel Prize in Physics twice for his work on the transistor and superconductivity.
- 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_69a2580a64ac8190ad76e34bb0715b5e |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25d5884c88190a349d7593b688921 |
completed | Feb. 28, 2026, 3:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a37958242c81909d114fba70b4211c |
completed | Feb. 28, 2026, 11:25 p.m. |
| NEDg | Description generation | batch_69a379b2662c81909903c43b544dda06 |
completed | Feb. 28, 2026, 11:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a37a5bdbb08190a0b8a053adc6c797 |
completed | Feb. 28, 2026, 11:29 p.m. |
Created at: Feb. 28, 2026, 2:55 a.m.