Triple
T17350269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Randall |
E421789
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Florence Gibbs
Florence Gibbs was the first wife of American actor Tony Randall, to whom he was married for over 50 years until her death.
|
E1465336
|
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: Florence Gibbs | Statement: [Tony Randall, spouse, Florence Gibbs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Florence Gibbs Context triple: [Tony Randall, spouse, Florence Gibbs]
-
A.
Florence Johnston
Florence Johnston is the sharp-tongued, quick-witted housekeeper on the classic American sitcom "The Jeffersons."
-
B.
Florence Howland
Florence Howland is a person notable enough to be recognized as a distinguished bearer of the surname Howland.
-
C.
Florence Howard
Florence Howard is a person known primarily through her family connection to Rome Howard.
-
D.
Florence Williamson
Florence Williamson is a film editor known for her work on the 1972 musical historical comedy film "1776."
-
E.
Florence McFadden
Florence McFadden was the wife of American actor and vaudevillian Jack Haley, best known for his role as the Tin Man in the classic film "The Wizard of Oz."
- 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: Florence Gibbs Triple: [Tony Randall, spouse, Florence Gibbs]
Generated description
Florence Gibbs was the first wife of American actor Tony Randall, to whom he was married for over 50 years until her death.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Florence Gibbs Target entity description: Florence Gibbs was the first wife of American actor Tony Randall, to whom he was married for over 50 years until her death.
-
A.
Florence Johnston
Florence Johnston is the sharp-tongued, quick-witted housekeeper on the classic American sitcom "The Jeffersons."
-
B.
Florence Howland
Florence Howland is a person notable enough to be recognized as a distinguished bearer of the surname Howland.
-
C.
Florence Howard
Florence Howard is a person known primarily through her family connection to Rome Howard.
-
D.
Florence Williamson
Florence Williamson is a film editor known for her work on the 1972 musical historical comedy film "1776."
-
E.
Florence McFadden
Florence McFadden was the wife of American actor and vaudevillian Jack Haley, best known for his role as the Tin Man in the classic film "The Wizard of Oz."
- 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a2bd0a881909e71c89773d9273c |
completed | April 19, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09504e01b48190a7a40215c542580c |
completed | May 17, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_6a09533134208190918e7a545576465c |
completed | May 17, 2026, 5:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09539ec5a48190a9a513732b88e4c1 |
completed | May 17, 2026, 5:35 a.m. |
Created at: April 10, 2026, 5:44 a.m.