Triple
T7672064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leigh Harline |
E173771
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Harline
Harline is a surname most notably associated with Leigh Harline, an American film composer known for his work with Walt Disney Studios.
|
E681716
|
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: Harline | Statement: [Leigh Harline, familyName, Harline]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harline Context triple: [Leigh Harline, familyName, Harline]
-
A.
Harlean
Harlean is the birth name of classic Hollywood film star Jean Harlow, a major sex symbol and leading actress of the 1930s.
-
B.
Bauline
Bauline is a small coastal town in Newfoundland and Labrador, Canada, located on the Avalon Peninsula near St. John’s.
-
C.
Arliss
"Arliss" is an American comedy television series that satirically follows a ruthless sports agent navigating the business and ethical dilemmas of professional athletics.
-
D.
Ainley
Ainley is an English surname most notably associated with actor Anthony Ainley, known for his role as the Master in the classic Doctor Who series.
-
E.
Lainez
Lainez is a Spanish-language surname of Basque origin borne by various notable figures in politics, sports, and the arts.
- 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: Harline Triple: [Leigh Harline, familyName, Harline]
Generated description
Harline is a surname most notably associated with Leigh Harline, an American film composer known for his work with Walt Disney Studios.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Harline Target entity description: Harline is a surname most notably associated with Leigh Harline, an American film composer known for his work with Walt Disney Studios.
-
A.
Harlean
Harlean is the birth name of classic Hollywood film star Jean Harlow, a major sex symbol and leading actress of the 1930s.
-
B.
Bauline
Bauline is a small coastal town in Newfoundland and Labrador, Canada, located on the Avalon Peninsula near St. John’s.
-
C.
Arliss
"Arliss" is an American comedy television series that satirically follows a ruthless sports agent navigating the business and ethical dilemmas of professional athletics.
-
D.
Ainley
Ainley is an English surname most notably associated with actor Anthony Ainley, known for his role as the Master in the classic Doctor Who series.
-
E.
Lainez
Lainez is a Spanish-language surname of Basque origin borne by various notable figures in politics, sports, and the arts.
- 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_69c699562484819086752091e3164a27 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701de94208190a7627521211452dc |
completed | March 27, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a22f74f481909498391bfaf23428 |
completed | March 29, 2026, 3:53 a.m. |
| NEDg | Description generation | batch_69c8a34c93a081908ec3509c3abb3866 |
completed | March 29, 2026, 3:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8a3b4e0a88190ad525c83bd03e09f |
completed | March 29, 2026, 3:59 a.m. |
Created at: March 27, 2026, 4 p.m.