Triple
T1076830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RTX |
E23858
|
entity |
| Predicate | chairman |
P377
|
FINISHED |
| Object | Gregory J. Hayes |
E275071
|
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: Gregory J. Hayes | Statement: [RTX, chairman, Gregory J. Hayes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gregory J. Hayes Context triple: [RTX, chairman, Gregory J. Hayes]
-
A.
Gregory J. Hayes
chosen
Gregory J. Hayes is an American business executive best known for leading major aerospace and defense companies, including serving as CEO of RTX (formerly Raytheon Technologies).
-
B.
Daniel P. Higgins
Daniel P. Higgins was an architect associated with the design work on the Jefferson Memorial in Washington, D.C.
-
C.
John R. Hayes
John R. Hayes is a cognitive psychologist and researcher known for his work on problem solving, creativity, and writing processes, often in collaboration with Herbert A. Simon.
-
D.
Daniel P. Hanley
Daniel P. Hanley is an American film editor best known for his long-time collaboration with director Ron Howard on numerous major Hollywood films.
-
E.
Michael A. Elliott
Michael A. Elliott is an American literary scholar and academic administrator who serves as the president of Amherst College.
- 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_69a493f1ddf48190a99d54b00e99f8ce |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b940d4848190930e73597afd1fcf |
completed | March 1, 2026, 10:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af5ca0ede48190b2c45761a3f92517 |
completed | March 9, 2026, 11:49 p.m. |
Created at: March 1, 2026, 7:42 p.m.