Triple
T3422449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boom Town |
E72143
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Harry Compton
Harry Compton is a fictional character from the 1940 American film "Boom Town," which centers on the lives and rivalries of wildcat oil drillers.
|
E357119
|
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: Harry Compton | Statement: [Boom Town, character, Harry Compton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harry Compton Context triple: [Boom Town, character, Harry Compton]
-
A.
Nevil Macready
Nevil Macready was a British Army general best known for serving as Commander-in-Chief in Ireland during the Irish War of Independence.
-
B.
Henry Flitcroft
Henry Flitcroft was an 18th-century English Palladian architect known for designing prominent London churches and country houses.
-
C.
Wilson Martindale Compton
Wilson Martindale Compton was an American economist and academic administrator who served as president of Washington State College in the mid-20th century.
-
D.
Harry Crerar
Harry Crerar was a senior Canadian Army officer in the Second World War who rose to command the First Canadian Army in Northwest Europe.
-
E.
Harry Escott
Harry Escott is a British film composer known for his atmospheric and emotionally driven scores for films such as "Shame."
- 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: Harry Compton Triple: [Boom Town, character, Harry Compton]
Generated description
Harry Compton is a fictional character from the 1940 American film "Boom Town," which centers on the lives and rivalries of wildcat oil drillers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Harry Compton Target entity description: Harry Compton is a fictional character from the 1940 American film "Boom Town," which centers on the lives and rivalries of wildcat oil drillers.
-
A.
Nevil Macready
Nevil Macready was a British Army general best known for serving as Commander-in-Chief in Ireland during the Irish War of Independence.
-
B.
Henry Flitcroft
Henry Flitcroft was an 18th-century English Palladian architect known for designing prominent London churches and country houses.
-
C.
Wilson Martindale Compton
Wilson Martindale Compton was an American economist and academic administrator who served as president of Washington State College in the mid-20th century.
-
D.
Harry Crerar
Harry Crerar was a senior Canadian Army officer in the Second World War who rose to command the First Canadian Army in Northwest Europe.
-
E.
Harry Escott
Harry Escott is a British film composer known for his atmospheric and emotionally driven scores for films such as "Shame."
- 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_69ad85ad38e48190b7660c5118a35289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb95223e081908b2954769d2f46c8 |
completed | March 8, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b35472881c8190baf90b91daa924ec |
completed | March 13, 2026, 12:04 a.m. |
| NEDg | Description generation | batch_69b35585fbd08190966c1263c165daa9 |
completed | March 13, 2026, 12:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3567042ac8190aacf4e30da1aa816 |
completed | March 13, 2026, 12:12 a.m. |
Created at: March 8, 2026, 3:15 p.m.