Triple
T15167531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Fall |
E362393
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Steve Hanley
Steve Hanley is an English bassist best known for his long tenure and influential work with the post-punk band The Fall.
|
E1141688
|
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 Hanley | Statement: [The Fall, hasMember, Steve Hanley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Hanley Context triple: [The Fall, hasMember, Steve Hanley]
-
A.
Doug J. Hannah
Doug J. Hannah is a film editor best known for his work on the science fiction thriller "The Cloverfield Paradox."
-
B.
Steve Hayden
Steve Hayden is an acclaimed advertising copywriter best known for co-creating Apple’s iconic “1984” Super Bowl commercial that helped redefine modern advertising.
-
C.
Brian G. Hutton
Brian G. Hutton was an American film director and actor best known for helming popular war and action films in the late 1960s and early 1970s.
-
D.
Steve Hams
Steve Hams is an American sports executive best known as the founder of the American Basketball League.
-
E.
Jeff Harris
Jeff Harris was an American television writer and producer best known for co-creating the popular sitcom "Diff'rent Strokes."
- 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 Hanley Triple: [The Fall, hasMember, Steve Hanley]
Generated description
Steve Hanley is an English bassist best known for his long tenure and influential work with the post-punk band The Fall.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Steve Hanley Target entity description: Steve Hanley is an English bassist best known for his long tenure and influential work with the post-punk band The Fall.
-
A.
Doug J. Hannah
Doug J. Hannah is a film editor best known for his work on the science fiction thriller "The Cloverfield Paradox."
-
B.
Steve Hayden
Steve Hayden is an acclaimed advertising copywriter best known for co-creating Apple’s iconic “1984” Super Bowl commercial that helped redefine modern advertising.
-
C.
Brian G. Hutton
Brian G. Hutton was an American film director and actor best known for helming popular war and action films in the late 1960s and early 1970s.
-
D.
Steve Hams
Steve Hams is an American sports executive best known as the founder of the American Basketball League.
-
E.
Jeff Harris
Jeff Harris was an American television writer and producer best known for co-creating the popular sitcom "Diff'rent Strokes."
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0064dba588190a4341775b472a6d3 |
completed | April 15, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec887fbf08190b42dd25a99b7770d |
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, 3:08 a.m.