Triple
T7125590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linda Lovelace |
E166049
|
entity |
| Predicate | laterFamilyName |
P18
|
FINISHED |
| Object |
Marchiano
Marchiano is the married surname of Linda Lovelace, the famous American pornographic film actress known for her role in "Deep Throat."
|
E644109
|
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: Marchiano | Statement: [Linda Lovelace, laterFamilyName, Marchiano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marchiano Context triple: [Linda Lovelace, laterFamilyName, Marchiano]
-
A.
Chiamparino
Chiamparino is an Italian surname most notably associated with Sergio Chiamparino, a prominent center-left politician and former mayor of Turin.
-
B.
Marcetelli
Marcetelli is a small Italian municipality in the Lazio region, known for its rural character and location within the mountainous area of central Italy.
-
C.
Marino
Marino is a historic town in Italy’s Alban Hills near Rome, known for its wine production and annual grape festival.
-
D.
Marino
Marino is a surname most famously associated with Dan Marino, the Hall of Fame former NFL quarterback for the Miami Dolphins.
-
E.
Guglielmino
Guglielmino is an Italian given name, typically considered a diminutive or variant of Guglielmo (the Italian form of William).
- 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: Marchiano Triple: [Linda Lovelace, laterFamilyName, Marchiano]
Generated description
Marchiano is the married surname of Linda Lovelace, the famous American pornographic film actress known for her role in "Deep Throat."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marchiano Target entity description: Marchiano is the married surname of Linda Lovelace, the famous American pornographic film actress known for her role in "Deep Throat."
-
A.
Chiamparino
Chiamparino is an Italian surname most notably associated with Sergio Chiamparino, a prominent center-left politician and former mayor of Turin.
-
B.
Marcetelli
Marcetelli is a small Italian municipality in the Lazio region, known for its rural character and location within the mountainous area of central Italy.
-
C.
Marino
Marino is a historic town in Italy’s Alban Hills near Rome, known for its wine production and annual grape festival.
-
D.
Marino
Marino is a surname most famously associated with Dan Marino, the Hall of Fame former NFL quarterback for the Miami Dolphins.
-
E.
Guglielmino
Guglielmino is an Italian given name, typically considered a diminutive or variant of Guglielmo (the Italian form of William).
- 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.