Triple
T15190784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In America |
E363003
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Tom Murphy
Tom Murphy is an actor known for his role in the film "In America."
|
E1141864
|
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: Tom Murphy | Statement: [In America, castMember, Tom Murphy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Murphy Context triple: [In America, castMember, Tom Murphy]
-
A.
Tom Murphy
Tom Murphy was a prominent Irish playwright known for his powerful, often darkly realistic dramas that became central to the modern Irish theatrical canon.
-
B.
Pat Quinn
Pat Quinn was a highly respected Canadian NHL coach and executive known for leading multiple teams to deep playoff runs and coaching Team Canada to international success.
-
C.
Pat Quinn
Pat Quinn is an American Democratic politician who served as the 41st governor of Illinois from 2009 to 2015.
-
D.
Pat Quinn
Pat Quinn was an American ALS activist who co-founded and helped popularize the viral Ice Bucket Challenge to raise awareness and funds for Lou Gehrig’s disease.
-
E.
Joseph Donnelly
Joseph Donnelly is the ambitious Irish immigrant protagonist of the film "Far and Away," who journeys to America in pursuit of land and a new life.
- 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: Tom Murphy Triple: [In America, castMember, Tom Murphy]
Generated description
Tom Murphy is an actor known for his role in the film "In America."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tom Murphy Target entity description: Tom Murphy is an actor known for his role in the film "In America."
-
A.
Tom Murphy
Tom Murphy was a prominent Irish playwright known for his powerful, often darkly realistic dramas that became central to the modern Irish theatrical canon.
-
B.
Pat Quinn
Pat Quinn was an American ALS activist who co-founded and helped popularize the viral Ice Bucket Challenge to raise awareness and funds for Lou Gehrig’s disease.
-
C.
Pat Quinn
Pat Quinn was a highly respected Canadian NHL coach and executive known for leading multiple teams to deep playoff runs and coaching Team Canada to international success.
-
D.
Pat Quinn
Pat Quinn is an American Democratic politician who served as the 41st governor of Illinois from 2009 to 2015.
-
E.
Joseph Donnelly
Joseph Donnelly is the ambitious Irish immigrant protagonist of the film "Far and Away," who journeys to America in pursuit of land and a new life.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0067d55ac8190b7a7fce36e6ddf3c |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec89797ac819090fb68bb5f2fad5c |
completed | May 9, 2026, 5:39 a.m. |
| NEDg | Description generation | batch_69fec974f39c819081dcec5c18090cf7 |
completed | May 9, 2026, 5:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feca9d1a5c8190b0c649f83a74231b |
completed | May 9, 2026, 5:48 a.m. |
Created at: April 10, 2026, 3:10 a.m.