Triple
T7125589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linda Lovelace |
E166049
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object |
Boreman
Boreman is the birth surname of Linda Lovelace, the infamous American pornographic film actress best known for her role in "Deep Throat."
|
E644108
|
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: Boreman | Statement: [Linda Lovelace, hasFamilyName, Boreman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boreman Context triple: [Linda Lovelace, hasFamilyName, Boreman]
-
A.
Bonger
Bonger is a Dutch surname most notably associated with Johanna van Gogh-Bonger, the key figure in preserving and promoting Vincent van Gogh’s artistic legacy.
-
B.
Bomer
Bomer is the surname of American actor Matt Bomer, known for his roles in television and film such as "White Collar" and "The Normal Heart."
-
C.
Bromfman
Bromfman is a surname most notably associated with Brazilian composer and music producer Pedro Bromfman, known for his work on film and television scores.
-
D.
Brinkman
Brinkman is a surname of Germanic origin borne by various notable individuals across fields such as sports, politics, and the arts.
-
E.
Erdman
Erdman is a masculine given name most notably borne by Disney story artist and screenwriter Erdman Penner.
- 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: Boreman Triple: [Linda Lovelace, hasFamilyName, Boreman]
Generated description
Boreman is the birth surname of Linda Lovelace, the infamous American pornographic film actress best known for her role in "Deep Throat."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Boreman Target entity description: Boreman is the birth surname of Linda Lovelace, the infamous American pornographic film actress best known for her role in "Deep Throat."
-
A.
Bonger
Bonger is a Dutch surname most notably associated with Johanna van Gogh-Bonger, the key figure in preserving and promoting Vincent van Gogh’s artistic legacy.
-
B.
Bomer
Bomer is the surname of American actor Matt Bomer, known for his roles in television and film such as "White Collar" and "The Normal Heart."
-
C.
Bromfman
Bromfman is a surname most notably associated with Brazilian composer and music producer Pedro Bromfman, known for his work on film and television scores.
-
D.
Brinkman
Brinkman is a surname of Germanic origin borne by various notable individuals across fields such as sports, politics, and the arts.
-
E.
Erdman
Erdman is a masculine given name most notably borne by Disney story artist and screenwriter Erdman Penner.
- 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_69c6888350588190870cd552b427a1cd |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e64d99888190a93c1822e19b5457 |
completed | March 27, 2026, 8:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7a331ff988190886bde89035623c0 |
completed | March 28, 2026, 9:45 a.m. |
| NEDg | Description generation | batch_69c7a46d95b88190bbadf3e8d1788489 |
completed | March 28, 2026, 9:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7a52e6a1c8190bf45e0aa7a920baf |
completed | March 28, 2026, 9:53 a.m. |
Created at: March 27, 2026, 2:44 p.m.