Triple
T10083860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roger Perron |
E213969
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Nancy Perron
Nancy Perron is known as one of the Perron children whose family’s alleged haunting in the 1970s inspired the events depicted in the horror film “The Conjuring.”
|
E969271
|
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 Perron | Statement: [Roger Perron, hasChild, Nancy Perron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nancy Perron Context triple: [Roger Perron, hasChild, Nancy Perron]
-
A.
Nancy Morris
Nancy Morris was the wife of American politician and U.S. Representative Henry Winter Davis, a prominent figure in Maryland politics during the mid-19th century.
-
B.
Nancy Cummings
Nancy Cummings was the daughter of American poet E. E. Cummings, known primarily through biographical accounts of his personal life.
-
C.
Nancy Priddy
Nancy Priddy is an American actress and singer-songwriter known for her work in television and music, as well as being the mother of actress Christina Applegate.
-
D.
Nancy Mack
Nancy Mack is an American entrepreneur best known as a co-founder of the specialty tea retailer Teavana.
-
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 Perron Triple: [Roger Perron, hasChild, Nancy Perron]
Generated description
Nancy Perron is known as one of the Perron children whose family’s alleged haunting in the 1970s inspired the events depicted in the horror film “The Conjuring.”
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nancy Perron Target entity description: Nancy Perron is known as one of the Perron children whose family’s alleged haunting in the 1970s inspired the events depicted in the horror film “The Conjuring.”
-
A.
Nancy Morris
Nancy Morris was the wife of American politician and U.S. Representative Henry Winter Davis, a prominent figure in Maryland politics during the mid-19th century.
-
B.
Nancy Cummings
Nancy Cummings was the daughter of American poet E. E. Cummings, known primarily through biographical accounts of his personal life.
-
C.
Nancy Priddy
Nancy Priddy is an American actress and singer-songwriter known for her work in television and music, as well as being the mother of actress Christina Applegate.
-
D.
Nancy Mack
Nancy Mack is an American entrepreneur best known as a co-founder of the specialty tea retailer Teavana.
-
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_69ca839bf730819086900c323c9b8c95 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd04352d081908f676444cd2d2578 |
completed | April 2, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a4d8a3481909c7f8a529d0051c2 |
completed | May 2, 2026, 2:29 p.m. |
| NEDg | Description generation | batch_69f60bda16e48190af8abc0aa8ef41f0 |
completed | May 2, 2026, 2:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60cd51d34819099927fee476958ea |
completed | May 2, 2026, 2:40 p.m. |
Created at: March 30, 2026, 9 p.m.