Triple
T8244359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maximum Overdrive |
E192813
|
entity |
| Predicate | mainCastMember |
P5563
|
FINISHED |
| Object |
Laura Harrington
Laura Harrington is an American actress best known for her role in the 1986 Stephen King film "Maximum Overdrive."
|
E818316
|
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: Laura Harrington | Statement: [Maximum Overdrive, mainCastMember, Laura Harrington]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laura Harrington Context triple: [Maximum Overdrive, mainCastMember, Laura Harrington]
-
A.
Laura Jarrett
Laura Jarrett is an American attorney and journalist known for her work as a legal correspondent on major U.S. news networks.
-
B.
Laura Jennings
Laura Jennings is a film editor best known for her work on major action and science fiction movies, including the Tom Cruise–led blockbuster "Edge of Tomorrow."
-
C.
Lisa Harriton
Lisa Harriton is an American singer-songwriter, keyboardist, and composer best known for her work in pop and film music, including contributions to hit songs from "The Lego Movie."
-
D.
Laura Hughes
Laura Hughes is known as the sister of American Olympic figure skater Sarah Hughes.
-
E.
Emily Woodruff
Emily Woodruff was the wife of Canadian-American actor Hume Cronyn and is primarily known for her connection to his life and career.
- 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: Laura Harrington Triple: [Maximum Overdrive, mainCastMember, Laura Harrington]
Generated description
Laura Harrington is an American actress best known for her role in the 1986 Stephen King film "Maximum Overdrive."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laura Harrington Target entity description: Laura Harrington is an American actress best known for her role in the 1986 Stephen King film "Maximum Overdrive."
-
A.
Laura Jarrett
Laura Jarrett is an American attorney and journalist known for her work as a legal correspondent on major U.S. news networks.
-
B.
Laura Jennings
Laura Jennings is a film editor best known for her work on major action and science fiction movies, including the Tom Cruise–led blockbuster "Edge of Tomorrow."
-
C.
Lisa Harriton
Lisa Harriton is an American singer-songwriter, keyboardist, and composer best known for her work in pop and film music, including contributions to hit songs from "The Lego Movie."
-
D.
Laura Hughes
Laura Hughes is known as the sister of American Olympic figure skater Sarah Hughes.
-
E.
Emily Woodruff
Emily Woodruff was the wife of Canadian-American actor Hume Cronyn and is primarily known for her connection to his life and career.
- 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_69ca82de7b8c81908d8106f8a53cff9b |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb78711f5081909c2f357334491a07 |
completed | March 31, 2026, 7:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1aef47b908190a7aff84fbf2759db |
completed | April 5, 2026, 12:38 a.m. |
| NEDg | Description generation | batch_69d1b06d39b48190adaadbc81b4ffb9a |
completed | April 5, 2026, 12:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1b1511c7c8190ba7bc691ab2d3a13 |
completed | April 5, 2026, 12:48 a.m. |
Created at: March 30, 2026, 5:47 p.m.