Triple
T3929592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charade |
E93363
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Ned Glass
Ned Glass was an American character actor known for his distinctive, often nervous or sardonic supporting roles in mid-20th-century film and television.
|
E399163
|
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: Ned Glass | Statement: [Charade, starring, Ned Glass]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ned Glass Context triple: [Charade, starring, Ned Glass]
-
A.
Jack Briggs
Jack Briggs was an American actor best known for his marriage to Hollywood star Ginger Rogers.
-
B.
Martin Hurson
Martin Hurson was an Irish republican and Provisional IRA member who died on hunger strike in the Maze Prison during the 1981 Irish hunger strikes.
-
C.
Tony Smith
Tony Smith was an influential American sculptor and architect best known for his large-scale minimalist geometric sculptures.
-
D.
Vincent Eyre
Vincent Eyre was a British Indian Army officer and writer known for his role in the First Anglo-Afghan War and his subsequent memoirs.
-
E.
Glenn Shadix
Glenn Shadix was an American character actor best known for his eccentric roles in films like "Beetlejuice" and various voice performances in animated works.
- 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: Ned Glass Triple: [Charade, starring, Ned Glass]
Generated description
Ned Glass was an American character actor known for his distinctive, often nervous or sardonic supporting roles in mid-20th-century film and television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ned Glass Target entity description: Ned Glass was an American character actor known for his distinctive, often nervous or sardonic supporting roles in mid-20th-century film and television.
-
A.
Jack Briggs
Jack Briggs was an American actor best known for his marriage to Hollywood star Ginger Rogers.
-
B.
Martin Hurson
Martin Hurson was an Irish republican and Provisional IRA member who died on hunger strike in the Maze Prison during the 1981 Irish hunger strikes.
-
C.
Tony Smith
Tony Smith was an influential American sculptor and architect best known for his large-scale minimalist geometric sculptures.
-
D.
Vincent Eyre
Vincent Eyre was a British Indian Army officer and writer known for his role in the First Anglo-Afghan War and his subsequent memoirs.
-
E.
Glenn Shadix
Glenn Shadix was an American character actor best known for his eccentric roles in films like "Beetlejuice" and various voice performances in animated works.
- 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_69aed96bfa1081908f7b30f2c647dee6 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeeda7cf3c81909df30744bddbad7e |
completed | March 9, 2026, 3:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5288094408190b5fece72ead94ec1 |
completed | March 14, 2026, 9:21 a.m. |
| NEDg | Description generation | batch_69b5293b41748190929665970712707a |
completed | March 14, 2026, 9:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b529e9080481908ff0ec30b295cfc3 |
completed | March 14, 2026, 9:27 a.m. |
Created at: March 9, 2026, 3:23 p.m.