Triple
T11733920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lloyd Robertson |
E278975
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Nancy Robertson
Nancy Robertson is the wife of prominent Canadian news anchor Lloyd Robertson.
|
E1116995
|
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: Nancy Robertson | Statement: [Lloyd Robertson, spouse, Nancy Robertson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nancy Robertson Context triple: [Lloyd Robertson, spouse, Nancy Robertson]
-
A.
Nancy Murray
Nancy Murray is a private individual known primarily as a relative of Caleb Murray.
-
B.
Nancy Dickson
Nancy Dickson is known as the wife of American attorney and statesman James Baker, who served in several high-level U.S. government positions.
-
C.
Nancy Birch
Nancy Birch is the central character in the film "Prisoners," around whom the story’s mystery and emotional tension revolve.
-
D.
Nancy Gates
Nancy Gates was an American film and television actress active from the 1940s through the 1960s, known for her roles in dramas, film noirs, and romantic comedies.
-
E.
Nancy Dow
Nancy Dow was an American actress and model best known as the mother of Jennifer Aniston.
- 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: Nancy Robertson Triple: [Lloyd Robertson, spouse, Nancy Robertson]
Generated description
Nancy Robertson is the wife of prominent Canadian news anchor Lloyd Robertson.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nancy Robertson Target entity description: Nancy Robertson is the wife of prominent Canadian news anchor Lloyd Robertson.
-
A.
Nancy Murray
Nancy Murray is a private individual known primarily as a relative of Caleb Murray.
-
B.
Nancy Dickson
Nancy Dickson is known as the wife of American attorney and statesman James Baker, who served in several high-level U.S. government positions.
-
C.
Nancy Birch
Nancy Birch is the central character in the film "Prisoners," around whom the story’s mystery and emotional tension revolve.
-
D.
Nancy Gates
Nancy Gates was an American film and television actress active from the 1940s through the 1960s, known for her roles in dramas, film noirs, and romantic comedies.
-
E.
Nancy Dow
Nancy Dow was an American actress and model best known as the mother of Jennifer Aniston.
- 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4daa7f48190896fc7653e9dd70b |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb6b97888190923ce7a6e59ff752 |
completed | May 8, 2026, 3:04 p.m. |
| NEDg | Description generation | batch_69fdffed6978819096b61adfe7eba2f0 |
completed | May 8, 2026, 3:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe00870b40819090cf6304272f714d |
completed | May 8, 2026, 3:25 p.m. |
Created at: April 8, 2026, 9:41 p.m.