Triple
T15108985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neale |
E360859
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Steve Neale
Steve Neale is a British film theorist and scholar known for his influential work on genre, spectatorship, and the economics of cinema.
|
E1140272
|
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: Steve Neale | Statement: [Neale, hasNotableBearer, Steve Neale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Neale Context triple: [Neale, hasNotableBearer, Steve Neale]
-
A.
Stephen Neale
Stephen Neale is the protagonist of Graham Greene’s wartime thriller novel "The Ministry of Fear," a man entangled in espionage and paranoia in World War II London.
-
B.
Joseph Neale
Joseph Neale was a member of the Neale family and the brother of Leonard Neale, an early American Catholic bishop and Archbishop of Baltimore.
-
C.
Jim Neill
Jim Neill was a British politician who served as a Member of Parliament representing the Ravensbourne constituency.
-
D.
Phil Norden
Phil Norden is a film editor known for his work on the Western drama "Dead for a Dollar."
-
E.
Don Nicholl
Don Nicholl was a British-born television writer and producer best known for co-creating influential American sitcoms in the 1970s and 1980s.
- 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: Steve Neale Triple: [Neale, hasNotableBearer, Steve Neale]
Generated description
Steve Neale is a British film theorist and scholar known for his influential work on genre, spectatorship, and the economics of cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Steve Neale Target entity description: Steve Neale is a British film theorist and scholar known for his influential work on genre, spectatorship, and the economics of cinema.
-
A.
Stephen Neale
Stephen Neale is the protagonist of Graham Greene’s wartime thriller novel "The Ministry of Fear," a man entangled in espionage and paranoia in World War II London.
-
B.
Joseph Neale
Joseph Neale was a member of the Neale family and the brother of Leonard Neale, an early American Catholic bishop and Archbishop of Baltimore.
-
C.
Jim Neill
Jim Neill was a British politician who served as a Member of Parliament representing the Ravensbourne constituency.
-
D.
Phil Norden
Phil Norden is a film editor known for his work on the Western drama "Dead for a Dollar."
-
E.
Don Nicholl
Don Nicholl was a British-born television writer and producer best known for co-creating influential American sitcoms in the 1970s and 1980s.
- 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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0058af8988190977d998f85893836 |
completed | April 15, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febfe2369881908c7ebbad412d9000 |
completed | May 9, 2026, 5:02 a.m. |
| NEDg | Description generation | batch_69fec1c2ce5c81909e2df69e4cf80344 |
completed | May 9, 2026, 5:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fec25d50548190a056d6bb1297e780 |
completed | May 9, 2026, 5:13 a.m. |
Created at: April 10, 2026, 3:05 a.m.