Triple
T6230679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esther Williams |
E139343
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Ben Gage
Ben Gage was an American radio announcer and actor best known for his work in radio drama and for being married to swimming and film star Esther Williams.
|
E578106
|
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: Ben Gage | Statement: [Esther Williams, spouse, Ben Gage]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Gage Context triple: [Esther Williams, spouse, Ben Gage]
-
A.
Don Galloway
Don Galloway was an American actor best known for his role as Detective Sergeant Ed Brown on the television series "Ironside."
-
B.
Leo Gordon
Leo Gordon was an American character actor and screenwriter known for his tough-guy roles in numerous Westerns and crime films from the 1950s through the 1970s.
-
C.
Frank Magee
Frank Magee is an editor known for his work on the horror film "The Beast with Five Fingers."
-
D.
Jack R. Gage
Jack R. Gage was an American politician who served as the 25th governor of Wyoming in the early 1960s.
-
E.
Alexander Gann
Alexander Gann is a molecular biologist and science editor known for his work on genetics and for co-authoring influential textbooks in molecular biology.
- 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: Ben Gage Triple: [Esther Williams, spouse, Ben Gage]
Generated description
Ben Gage was an American radio announcer and actor best known for his work in radio drama and for being married to swimming and film star Esther Williams.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ben Gage Target entity description: Ben Gage was an American radio announcer and actor best known for his work in radio drama and for being married to swimming and film star Esther Williams.
-
A.
Don Galloway
Don Galloway was an American actor best known for his role as Detective Sergeant Ed Brown on the television series "Ironside."
-
B.
Leo Gordon
Leo Gordon was an American character actor and screenwriter known for his tough-guy roles in numerous Westerns and crime films from the 1950s through the 1970s.
-
C.
Frank Magee
Frank Magee is an editor known for his work on the horror film "The Beast with Five Fingers."
-
D.
Jack R. Gage
Jack R. Gage was an American politician who served as the 25th governor of Wyoming in the early 1960s.
-
E.
Alexander Gann
Alexander Gann is a molecular biologist and science editor known for his work on genetics and for co-authoring influential textbooks in molecular biology.
- 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_69c008afd3148190b71e9eaa60420dd1 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062ec5be4819084d6df2e8dd2a542 |
completed | March 22, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c20de90ba08190be1e0c44b5b13f53 |
completed | March 24, 2026, 4:07 a.m. |
| NEDg | Description generation | batch_69c212d46f648190b72eb440d02178b8 |
completed | March 24, 2026, 4:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c2138541608190a3ea346ff23974a3 |
completed | March 24, 2026, 4:31 a.m. |
Created at: March 22, 2026, 4:22 p.m.