Triple
T8362227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Laird Borden |
E197034
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Laura Bond
Laura Bond was the wife of Robert Laird Borden, the eighth prime minister of Canada.
|
E729062
|
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: Laura Bond | Statement: [Robert Laird Borden, spouse, Laura Bond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laura Bond Context triple: [Robert Laird Borden, spouse, Laura Bond]
-
A.
Carol Anne Bond
Carol Anne Bond is the woman whose criminal case challenging the federal government's use of a chemical weapons law against her led to the landmark U.S. Supreme Court decision in Bond v. United States.
-
B.
Muriel Bagge
Muriel Bagge is the kind, elderly Scottish woman who lovingly cares for Courage the Cowardly Dog in the animated horror-comedy series.
-
C.
Zannie Beaty
Zannie Beaty is a film producer known for work on the teen comedy movie "Easy A."
-
D.
Denise Fleming
Denise Fleming is a sarcastic, alternative high school student and one of the central teens navigating relationships and identity during a chaotic graduation party in the 1998 teen comedy film "Can’t Hardly Wait."
-
E.
Pamela Gray
Pamela Gray is an American screenwriter known for her work on character-driven drama films, including the military biographical film "Megan Leavey."
- 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: Laura Bond Triple: [Robert Laird Borden, spouse, Laura Bond]
Generated description
Laura Bond was the wife of Robert Laird Borden, the eighth prime minister of Canada.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laura Bond Target entity description: Laura Bond was the wife of Robert Laird Borden, the eighth prime minister of Canada.
-
A.
Carol Anne Bond
Carol Anne Bond is the woman whose criminal case challenging the federal government's use of a chemical weapons law against her led to the landmark U.S. Supreme Court decision in Bond v. United States.
-
B.
Muriel Bagge
Muriel Bagge is the kind, elderly Scottish woman who lovingly cares for Courage the Cowardly Dog in the animated horror-comedy series.
-
C.
Zannie Beaty
Zannie Beaty is a film producer known for work on the teen comedy movie "Easy A."
-
D.
Denise Fleming
Denise Fleming is a sarcastic, alternative high school student and one of the central teens navigating relationships and identity during a chaotic graduation party in the 1998 teen comedy film "Can’t Hardly Wait."
-
E.
Pamela Gray
Pamela Gray is an American screenwriter known for her work on character-driven drama films, including the military biographical film "Megan Leavey."
- 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_69ca82f2dbe48190aba982e75a0d94de |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb8074e4588190b394d1622adca2cb |
completed | March 31, 2026, 8:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc77cf2ac8190a1c5b618fd64da73 |
completed | April 2, 2026, 1:33 a.m. |
| NEDg | Description generation | batch_69cdcc872cc081909c75b3fb08b03e3f |
completed | April 2, 2026, 1:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdd15b53748190966a94b7e8c04880 |
completed | April 2, 2026, 2:15 a.m. |
Created at: March 30, 2026, 6 p.m.