Triple
T19030830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam Robards |
E465730
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Sydney Sherrill
Sydney Sherrill is an American individual known primarily for her marriage to actor Sam Robards.
|
E1356128
|
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: Sydney Sherrill | Statement: [Sam Robards, spouse, Sydney Sherrill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sydney Sherrill Context triple: [Sam Robards, spouse, Sydney Sherrill]
-
A.
Jody Hice
Jody Hice is an American Republican politician and former pastor who represented Georgia in the U.S. House of Representatives.
-
B.
Tamdan McCrory
Tamdan McCrory is an American mixed martial artist known for competing in the UFC’s welterweight and middleweight divisions.
-
C.
Shelby Moore Cullom
Shelby Moore Cullom was an American politician who served as governor of Illinois and later as a long-serving U.S. senator in the late 19th and early 20th centuries.
-
D.
Shelbie Bruce
Shelbie Bruce is an American actress best known for her role as the bilingual daughter Cristina Moreno in the film "Spanglish."
-
E.
Allison Pickens
Allison Pickens is a customer success and SaaS business leader, investor, and author known for her work on scaling recurring revenue companies.
- 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: Sydney Sherrill Triple: [Sam Robards, spouse, Sydney Sherrill]
Generated description
Sydney Sherrill is an American individual known primarily for her marriage to actor Sam Robards.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sydney Sherrill Target entity description: Sydney Sherrill is an American individual known primarily for her marriage to actor Sam Robards.
-
A.
Jody Hice
Jody Hice is an American Republican politician and former pastor who represented Georgia in the U.S. House of Representatives.
-
B.
Tamdan McCrory
Tamdan McCrory is an American mixed martial artist known for competing in the UFC’s welterweight and middleweight divisions.
-
C.
Shelby Moore Cullom
Shelby Moore Cullom was an American politician who served as governor of Illinois and later as a long-serving U.S. senator in the late 19th and early 20th centuries.
-
D.
Shelbie Bruce
Shelbie Bruce is an American actress best known for her role as the bilingual daughter Cristina Moreno in the film "Spanglish."
-
E.
Allison Pickens
Allison Pickens is a customer success and SaaS business leader, investor, and author known for her work on scaling recurring revenue companies.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d7404d748190bcb51692fb822fd4 |
completed | April 20, 2026, 7:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05c545b5f8819096301f25fc1d7a75 |
completed | May 14, 2026, 12:51 p.m. |
| NEDg | Description generation | batch_6a05c7b340f0819089dbbd5a6b319f25 |
completed | May 14, 2026, 1:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05c812eba081909a0fcb9dbadbb428 |
completed | May 14, 2026, 1:03 p.m. |
Created at: April 10, 2026, 12:02 p.m.