Triple
T4076609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NYSE:T |
E86778
|
entity |
| Predicate | issuerCEO |
P44300
|
FINISHED |
| Object |
John Stankey
John Stankey is an American business executive best known as the chief executive officer of AT&T.
|
E411498
|
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: John Stankey | Statement: [NYSE:T, issuerCEO, John Stankey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Stankey Context triple: [NYSE:T, issuerCEO, John Stankey]
-
A.
Leonard Bosack
Leonard Bosack is an American computer engineer and entrepreneur best known as the co-founder of Cisco Systems, a pioneering company in computer networking and internet infrastructure.
-
B.
John Gage
John Gage is a name shared by several notable figures, including historical politicians, diplomats, and fictional characters in film and television.
-
C.
Thomas Siebel
Thomas Siebel is an American technology entrepreneur best known as the founder of Siebel Systems and later the cloud computing company C3.ai.
-
D.
Jack Cutting
Jack Cutting was an American film editor and animation director best known for his work on classic Walt Disney productions.
-
E.
Bill Richard
Bill Richard is the father of Martin Richard, the youngest victim of the 2013 Boston Marathon bombing, and has since been involved in public remembrance and community efforts honoring his son.
- 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: John Stankey Triple: [NYSE:T, issuerCEO, John Stankey]
Generated description
John Stankey is an American business executive best known as the chief executive officer of AT&T.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Stankey Target entity description: John Stankey is an American business executive best known as the chief executive officer of AT&T.
-
A.
Leonard Bosack
Leonard Bosack is an American computer engineer and entrepreneur best known as the co-founder of Cisco Systems, a pioneering company in computer networking and internet infrastructure.
-
B.
John Gage
John Gage is a name shared by several notable figures, including historical politicians, diplomats, and fictional characters in film and television.
-
C.
Thomas Siebel
Thomas Siebel is an American technology entrepreneur best known as the founder of Siebel Systems and later the cloud computing company C3.ai.
-
D.
Jack Cutting
Jack Cutting was an American film editor and animation director best known for his work on classic Walt Disney productions.
-
E.
Bill Richard
Bill Richard is the father of Martin Richard, the youngest victim of the 2013 Boston Marathon bombing, and has since been involved in public remembrance and community efforts honoring his son.
- 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_69aed93ebe448190a1f1686e28740ac9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefc4ba3f08190a6c6aaf6e9c99bd5 |
completed | March 9, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b562bea9b48190bcd1396c0cb19697 |
completed | March 14, 2026, 1:29 p.m. |
| NEDg | Description generation | batch_69b563b5cc108190bb9684abafa608af |
completed | March 14, 2026, 1:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5646606f08190930451ac372154cd |
completed | March 14, 2026, 1:36 p.m. |
Created at: March 9, 2026, 3:39 p.m.