Triple
T2353369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alan Mulally |
E47497
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Mulally |
E47497
|
NE FINISHED |
How this triple was built (2 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.
Mulally
chosen
Mulally is the surname of Alan Mulally, the American engineer and former CEO known for leading major turnarounds at Boeing and Ford Motor Company.
-
B.
Chaville
Chaville is a suburban commune in the western outskirts of Paris, located in the Hauts-de-Seine department of France.
-
C.
Minnelli
Minnelli is a distinguished Italian-American show business family name most famously associated with entertainer Liza Minnelli and film director Vincente Minnelli.
-
D.
Macon Blair
Macon Blair is an American actor, writer, and director known for his frequent collaborations with filmmaker Jeremy Saulnier and his roles in gritty independent thrillers and dark comedies.
-
E.
Minghella
Minghella is the surname of a British family best known for Anthony Minghella, the acclaimed film director and screenwriter behind works such as "The English Patient."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a88a1b678c8190bce986922ba60ce0 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc6fa6ecc8190821c9d5db341cf19 |
completed | March 7, 2026, 6:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae9633ce3c81908581e7e0f8211ac1 |
completed | March 9, 2026, 9:43 a.m. |
Created at: March 4, 2026, 7:54 p.m.