Triple
T377981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alan Mulally |
E8612
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Mulally
Mulally is the surname of Alan Mulally, the American engineer and former CEO known for leading major turnarounds at Boeing and Ford Motor Company.
|
E47497
|
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: Mulally | Statement: [Alan Mulally, familyName, Mulally]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mulally Context triple: [Alan Mulally, familyName, Mulally]
-
A.
Millar
Millar is a surname and variant spelling of Miller, commonly found in English-speaking countries.
-
B.
MacDouglas
MacDouglas is a Scottish surname variant of Douglas, traditionally associated with clans and families of Scottish heritage.
-
C.
Pierce
Pierce is a surname most prominently associated with Paul Pierce, the Hall of Fame former NBA star of the Boston Celtics.
-
D.
Bradley
Bradley is the given first name of Brad Stevens, an American professional basketball executive and former head coach of the Boston Celtics.
-
E.
Sullivan
Sullivan is a shortened name for the international law firm Sullivan & Worcester LLP, known for its corporate, tax, and financial legal services.
- 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: Mulally Triple: [Alan Mulally, familyName, Mulally]
Generated description
Mulally is the surname of Alan Mulally, the American engineer and former CEO known for leading major turnarounds at Boeing and Ford Motor Company.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mulally Target entity description: Mulally is the surname of Alan Mulally, the American engineer and former CEO known for leading major turnarounds at Boeing and Ford Motor Company.
-
A.
Millar
Millar is a surname and variant spelling of Miller, commonly found in English-speaking countries.
-
B.
MacDouglas
MacDouglas is a Scottish surname variant of Douglas, traditionally associated with clans and families of Scottish heritage.
-
C.
Pierce
Pierce is a surname most prominently associated with Paul Pierce, the Hall of Fame former NBA star of the Boston Celtics.
-
D.
Bradley
Bradley is the given first name of Brad Stevens, an American professional basketball executive and former head coach of the Boston Celtics.
-
E.
Sullivan
Sullivan is a shortened name for the international law firm Sullivan & Worcester LLP, known for its corporate, tax, and financial legal services.
- 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec1804108190a1e94526b71289ea |
completed | Feb. 28, 2026, 1:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3f4ded68c8190b6951c03fd75c404 |
completed | March 1, 2026, 8:12 a.m. |
| NEDg | Description generation | batch_69a3f5551aa4819083d49c02c5685fbd |
completed | March 1, 2026, 8:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3f5af51448190b77b55c0f8620419 |
completed | March 1, 2026, 8:15 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.