Triple
T17607214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deadfall |
E428863
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Joe Dolan
Joe Dolan is a fictional character appearing in the crime film "Deadfall."
|
E1330831
|
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: Joe Dolan | Statement: [Deadfall, featuresCharacter, Joe Dolan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Dolan Context triple: [Deadfall, featuresCharacter, Joe Dolan]
-
A.
Matt Dolan
Matt Dolan is an American politician and attorney from Ohio who serves as a Republican state legislator and is a member of the family that owns the Cleveland Guardians baseball team.
-
B.
Joe Delaney
Joe Delaney was an American NFL running back for the Kansas City Chiefs who is remembered as a hero for sacrificing his life while attempting to save three drowning children.
-
C.
Bill Heelan
Bill Heelan is a developer best known for creating the software project Archie.
-
D.
Joe Gormley
Joe Gormley was a prominent British trade union leader who served as president of the National Union of Mineworkers during the 1970s, playing a major role in UK industrial relations.
-
E.
Sam Dolan
Sam Dolan is the central protagonist of the film "Double Feature," around whom the story’s main events and character dynamics revolve.
- 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: Joe Dolan Triple: [Deadfall, featuresCharacter, Joe Dolan]
Generated description
Joe Dolan is a fictional character appearing in the crime film "Deadfall."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joe Dolan Target entity description: Joe Dolan is a fictional character appearing in the crime film "Deadfall."
-
A.
Matt Dolan
Matt Dolan is an American politician and attorney from Ohio who serves as a Republican state legislator and is a member of the family that owns the Cleveland Guardians baseball team.
-
B.
Joe Delaney
Joe Delaney was an American NFL running back for the Kansas City Chiefs who is remembered as a hero for sacrificing his life while attempting to save three drowning children.
-
C.
Bill Heelan
Bill Heelan is a developer best known for creating the software project Archie.
-
D.
Joe Gormley
Joe Gormley was a prominent British trade union leader who served as president of the National Union of Mineworkers during the 1970s, playing a major role in UK industrial relations.
-
E.
Sam Dolan
Sam Dolan is the central protagonist of the film "Double Feature," around whom the story’s main events and character dynamics revolve.
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46c4ccef08190aeaa88670364bd74 |
completed | April 19, 2026, 5:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a049abe0f5c81909bee53d18f186e0c |
completed | May 13, 2026, 3:37 p.m. |
| NEDg | Description generation | batch_6a049c461c288190955ac8cdaefc055d |
completed | May 13, 2026, 3:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a049cbbc0288190be82f11e660b7dff |
completed | May 13, 2026, 3:46 p.m. |
Created at: April 10, 2026, 5:51 a.m.