Triple
T389944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Pryor |
E8858
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Silver Streak
Silver Streak is a 1976 action-comedy film about a murder mystery unfolding aboard a cross-country train, co-starring Richard Pryor and Gene Wilder.
|
E49195
|
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: Silver Streak | Statement: [Richard Pryor, notableWork, Silver Streak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silver Streak Context triple: [Richard Pryor, notableWork, Silver Streak]
-
A.
Silver Star
Silver Star is a long-distance Amtrak passenger train that runs along the U.S. East Coast, connecting New York City with Florida.
-
B.
Silver Star
The Silver Star is a high-level U.S. military decoration awarded for gallantry in action against an enemy of the United States.
-
C.
Silver Meteor
The Silver Meteor is a long-distance Amtrak passenger train that runs along the U.S. East Coast, connecting New York City and Miami.
-
D.
Logan Express
Logan Express is a regional bus service that provides direct, scheduled transportation between suburban locations and Boston Logan International Airport.
-
E.
California Gold
California Gold is a distinctive shade of gold used as one of the official school colors representing the University of California, Berkeley.
- 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: Silver Streak Triple: [Richard Pryor, notableWork, Silver Streak]
Generated description
Silver Streak is a 1976 action-comedy film about a murder mystery unfolding aboard a cross-country train, co-starring Richard Pryor and Gene Wilder.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Silver Streak Target entity description: Silver Streak is a 1976 action-comedy film about a murder mystery unfolding aboard a cross-country train, co-starring Richard Pryor and Gene Wilder.
-
A.
Silver Star
Silver Star is a long-distance Amtrak passenger train that runs along the U.S. East Coast, connecting New York City with Florida.
-
B.
Silver Star
The Silver Star is a high-level U.S. military decoration awarded for gallantry in action against an enemy of the United States.
-
C.
Silver Meteor
The Silver Meteor is a long-distance Amtrak passenger train that runs along the U.S. East Coast, connecting New York City and Miami.
-
D.
Logan Express
Logan Express is a regional bus service that provides direct, scheduled transportation between suburban locations and Boston Logan International Airport.
-
E.
California Gold
California Gold is a distinctive shade of gold used as one of the official school colors representing the University of California, Berkeley.
- 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_69a2e7f55c60819097aff65ea2ca2832 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec5bdc848190826701590070497b |
completed | Feb. 28, 2026, 1:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4035310608190a1e0f807cb93e1e1 |
completed | March 1, 2026, 9:13 a.m. |
| NEDg | Description generation | batch_69a403a7c1488190a7773a5ae8a8cec7 |
completed | March 1, 2026, 9:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a40428b014819091c6534ba35a11ff |
completed | March 1, 2026, 9:17 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.