Triple
T8278773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goodfellas |
E193611
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Chuck Low
Chuck Low was an American character actor best known for his memorable supporting role as Morrie Kessler in Martin Scorsese’s film "Goodfellas."
|
E723183
|
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: Chuck Low | Statement: [Goodfellas, castMember, Chuck Low]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chuck Low Context triple: [Goodfellas, castMember, Chuck Low]
-
A.
Scott Barlow
Scott Barlow is an Australian businessman best known for his long-term leadership role as chairman and major stakeholder of A-League football club Sydney FC.
-
B.
Bill Lowry
Bill Lowry is a person notable enough to be recognized as a prominent bearer of the surname Lowry.
-
C.
Kurt Barlow
Kurt Barlow is the ancient, malevolent vampire antagonist in Stephen King’s horror novel "Salem’s Lot."
-
D.
Chuck Cecil
Chuck Cecil is a former American football safety best known for his hard-hitting play in the NFL and his standout collegiate career at the University of Arizona.
-
E.
Chuck Wagner
Chuck Wagner is an American vintner best known as the co-founder and longtime winemaker of Napa Valley’s acclaimed Caymus Vineyards.
- 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: Chuck Low Triple: [Goodfellas, castMember, Chuck Low]
Generated description
Chuck Low was an American character actor best known for his memorable supporting role as Morrie Kessler in Martin Scorsese’s film "Goodfellas."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chuck Low Target entity description: Chuck Low was an American character actor best known for his memorable supporting role as Morrie Kessler in Martin Scorsese’s film "Goodfellas."
-
A.
Scott Barlow
Scott Barlow is an Australian businessman best known for his long-term leadership role as chairman and major stakeholder of A-League football club Sydney FC.
-
B.
Bill Lowry
Bill Lowry is a person notable enough to be recognized as a prominent bearer of the surname Lowry.
-
C.
Kurt Barlow
Kurt Barlow is the ancient, malevolent vampire antagonist in Stephen King’s horror novel "Salem’s Lot."
-
D.
Chuck Cecil
Chuck Cecil is a former American football safety best known for his hard-hitting play in the NFL and his standout collegiate career at the University of Arizona.
-
E.
Chuck Wagner
Chuck Wagner is an American vintner best known as the co-founder and longtime winemaker of Napa Valley’s acclaimed Caymus Vineyards.
- 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_69ca82e217a48190880695635c44b2ed |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb79ebb6b88190bc777b8bd72fcdbc |
completed | March 31, 2026, 7:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd6863c22c8190b888a23bb9005712 |
completed | April 1, 2026, 6:48 p.m. |
| NEDg | Description generation | batch_69cd6d5441248190a9e32281dc8e8d62 |
completed | April 1, 2026, 7:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd7e20f71c8190959319c6683a2810 |
completed | April 1, 2026, 8:20 p.m. |
Created at: March 30, 2026, 5:51 p.m.