Triple
T15610659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francesco Quinn |
E375279
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Michael Quinn
Michael Quinn is one of the children of the late actor Francesco Quinn, who was known for his work in film and television.
|
E1178730
|
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: Michael Quinn | Statement: [Francesco Quinn, hasChild, Michael Quinn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Quinn Context triple: [Francesco Quinn, hasChild, Michael Quinn]
-
A.
Sean Quinlan
Sean Quinlan is a computer scientist and software engineer known for his work at Google on large-scale distributed systems and storage infrastructure.
-
B.
Scott O’Connor
Scott O’Connor is one of the sons of John Jay O’Connor III and former U.S. Supreme Court Justice Sandra Day O’Connor.
-
C.
Aidan Murphy
Aidan Murphy is the Irish actor better known professionally as Aidan Gillen, recognized for roles in series like "The Wire" and "Game of Thrones."
-
D.
Aidan Murphy
Aidan Murphy is a person whose specific public notability or distinguishing characteristics are not clearly identifiable from the given information.
-
E.
Jack Quinn
Jack Quinn was a durable early 20th-century Major League Baseball pitcher known for his longevity and effective spitball, pitching into his late 40s and early 50s.
- 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: Michael Quinn Triple: [Francesco Quinn, hasChild, Michael Quinn]
Generated description
Michael Quinn is one of the children of the late actor Francesco Quinn, who was known for his work in film and television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Quinn Target entity description: Michael Quinn is one of the children of the late actor Francesco Quinn, who was known for his work in film and television.
-
A.
Sean Quinlan
Sean Quinlan is a computer scientist and software engineer known for his work at Google on large-scale distributed systems and storage infrastructure.
-
B.
Scott O’Connor
Scott O’Connor is one of the sons of John Jay O’Connor III and former U.S. Supreme Court Justice Sandra Day O’Connor.
-
C.
Aidan Murphy
Aidan Murphy is the Irish actor better known professionally as Aidan Gillen, recognized for roles in series like "The Wire" and "Game of Thrones."
-
D.
Aidan Murphy
Aidan Murphy is a person whose specific public notability or distinguishing characteristics are not clearly identifiable from the given information.
-
E.
Jack Quinn
Jack Quinn was a durable early 20th-century Major League Baseball pitcher known for his longevity and effective spitball, pitching into his late 40s and early 50s.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e8024948190a6c711f2e5c2aac4 |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff997b9c9081908f6a68e28a50a359 |
completed | May 9, 2026, 8:30 p.m. |
| NEDg | Description generation | batch_69ff9c2301f88190bb5a922d8b594b4c |
completed | May 9, 2026, 8:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff9c80c380819084be5eb59cd49bd9 |
completed | May 9, 2026, 8:43 p.m. |
Created at: April 10, 2026, 4:13 a.m.