Triple
T2791126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert M. Gates |
E61929
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Becky Gates
Becky Gates is the wife of former U.S. Secretary of Defense Robert M. Gates and a longtime partner in his public and academic life.
|
E298601
|
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: Becky Gates | Statement: [Robert M. Gates, spouse, Becky Gates]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Becky Gates Context triple: [Robert M. Gates, spouse, Becky Gates]
-
A.
Becky
Becky is a common English feminine given name, typically used as a diminutive of Rebecca.
-
B.
Julie Beckman
Julie Beckman is an American architect best known for co-designing the National 9/11 Pentagon Memorial in Arlington, Virginia.
-
C.
Lauren Beck
Lauren Beck is a film producer best known for her work on the critically acclaimed drama "Manchester by the Sea."
-
D.
Binkie Beaumont
Binkie Beaumont was a prominent British theatrical producer and manager known for his influential role in mid-20th-century West End theatre.
-
E.
Mary “Bebe” Hunt Kemper
Mary “Bebe” Hunt Kemper is an American arts patron and philanthropist best known for establishing the Kemper Museum of Contemporary Art in Kansas City, Missouri.
- 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: Becky Gates Triple: [Robert M. Gates, spouse, Becky Gates]
Generated description
Becky Gates is the wife of former U.S. Secretary of Defense Robert M. Gates and a longtime partner in his public and academic life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Becky Gates Target entity description: Becky Gates is the wife of former U.S. Secretary of Defense Robert M. Gates and a longtime partner in his public and academic life.
-
A.
Becky
Becky is a common English feminine given name, typically used as a diminutive of Rebecca.
-
B.
Julie Beckman
Julie Beckman is an American architect best known for co-designing the National 9/11 Pentagon Memorial in Arlington, Virginia.
-
C.
Lauren Beck
Lauren Beck is a film producer best known for her work on the critically acclaimed drama "Manchester by the Sea."
-
D.
Binkie Beaumont
Binkie Beaumont was a prominent British theatrical producer and manager known for his influential role in mid-20th-century West End theatre.
-
E.
Mary “Bebe” Hunt Kemper
Mary “Bebe” Hunt Kemper is an American arts patron and philanthropist best known for establishing the Kemper Museum of Contemporary Art in Kansas City, Missouri.
- 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_69ab4b7f51d881908768300ebd2fbdae |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddcfe19c81908f94dd449f18a2c2 |
completed | March 7, 2026, 8:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc65c1f848190b6efeefb64a3e131 |
completed | March 10, 2026, 7:21 a.m. |
| NEDg | Description generation | batch_69afc6e6d4bc81908108fe24677448c3 |
completed | March 10, 2026, 7:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afc7907be88190b70458ed735261e8 |
completed | March 10, 2026, 7:26 a.m. |
Created at: March 6, 2026, 9:58 p.m.