Triple
T2198440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gone Baby Gone |
E50431
|
entity |
| Predicate | characterPortrayedBy |
P1507
|
FINISHED |
| Object |
Patrick Kenzie – Casey Affleck
Patrick Kenzie – Casey Affleck is the actor’s portrayal of a Boston private investigator in the crime drama film "Gone Baby Gone."
|
E242660
|
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: Patrick Kenzie – Casey Affleck | Statement: [Gone Baby Gone, characterPortrayedBy, Patrick Kenzie – Casey Affleck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patrick Kenzie – Casey Affleck Context triple: [Gone Baby Gone, characterPortrayedBy, Patrick Kenzie – Casey Affleck]
-
A.
Elias Pearce
Elias Pearce was the mountaineer credited with making the first recorded ascent of Mount Shasta in California.
-
B.
Malachi Flynn
Malachi Flynn is an American professional basketball player and standout point guard known for his collegiate success at San Diego State University and subsequent NBA career.
-
C.
Jack Mullaney
Jack Mullaney was an American character actor known for his comedic roles in mid-20th-century film and television.
-
D.
Nolan Ross
Nolan Ross is a brilliant, eccentric tech entrepreneur and loyal ally who plays a pivotal role in the drama series "Revenge."
-
E.
John Dailey
John Dailey is an American politician serving as the mayor of Tallahassee, Florida.
- 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: Patrick Kenzie – Casey Affleck Triple: [Gone Baby Gone, characterPortrayedBy, Patrick Kenzie – Casey Affleck]
Generated description
Patrick Kenzie – Casey Affleck is the actor’s portrayal of a Boston private investigator in the crime drama film "Gone Baby Gone."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Patrick Kenzie – Casey Affleck Target entity description: Patrick Kenzie – Casey Affleck is the actor’s portrayal of a Boston private investigator in the crime drama film "Gone Baby Gone."
-
A.
Elias Pearce
Elias Pearce was the mountaineer credited with making the first recorded ascent of Mount Shasta in California.
-
B.
Malachi Flynn
Malachi Flynn is an American professional basketball player and standout point guard known for his collegiate success at San Diego State University and subsequent NBA career.
-
C.
Jack Mullaney
Jack Mullaney was an American character actor known for his comedic roles in mid-20th-century film and television.
-
D.
Nolan Ross
Nolan Ross is a brilliant, eccentric tech entrepreneur and loyal ally who plays a pivotal role in the drama series "Revenge."
-
E.
John Dailey
John Dailey is an American politician serving as the mayor of Tallahassee, Florida.
- 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_69a88b044ab48190add007487680f009 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abbf7b65cc8190bcc5a5c52b90f33b |
completed | March 7, 2026, 6:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5db9b0208190a63a75c86ea9dcff |
completed | March 9, 2026, 5:42 a.m. |
| NEDg | Description generation | batch_69ae5e866d108190b39853172d1ed1a6 |
completed | March 9, 2026, 5:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae5edfe80481908c3304c917c9065b |
completed | March 9, 2026, 5:47 a.m. |
Created at: March 4, 2026, 7:46 p.m.