Triple
T15128387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halestorm |
E361351
|
entity |
| Predicate | hasFormerMember |
P1168
|
FINISHED |
| Object |
Roger Hale
Roger Hale is a musician best known as a former member of the American rock band Halestorm.
|
E1138746
|
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: Roger Hale | Statement: [Halestorm, hasFormerMember, Roger Hale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roger Hale Context triple: [Halestorm, hasFormerMember, Roger Hale]
-
A.
Henry Lyppiatt
Henry Lyppiatt is a wealthy, somewhat blustering theatrical producer and friend of the protagonist in Noël Coward’s comedy play "Present Laughter."
-
B.
Henry Hallett
Henry Hallett was an individual significant enough in polar or maritime exploration or support to have Cape Hallett in Antarctica named in his honor.
-
C.
Paul Tazewell
Paul Tazewell is a Tony Award–winning American costume designer renowned for his work on Broadway productions and other major stage and screen projects.
-
D.
Robert Caldwell
Robert Caldwell was a 19th-century British missionary and linguist renowned for his pioneering comparative study and classification of the Dravidian languages of South India.
-
E.
John Willett
John Willett is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Willett.
- 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: Roger Hale Triple: [Halestorm, hasFormerMember, Roger Hale]
Generated description
Roger Hale is a musician best known as a former member of the American rock band Halestorm.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roger Hale Target entity description: Roger Hale is a musician best known as a former member of the American rock band Halestorm.
-
A.
Henry Lyppiatt
Henry Lyppiatt is a wealthy, somewhat blustering theatrical producer and friend of the protagonist in Noël Coward’s comedy play "Present Laughter."
-
B.
Henry Hallett
Henry Hallett was an individual significant enough in polar or maritime exploration or support to have Cape Hallett in Antarctica named in his honor.
-
C.
Paul Tazewell
Paul Tazewell is a Tony Award–winning American costume designer renowned for his work on Broadway productions and other major stage and screen projects.
-
D.
Robert Caldwell
Robert Caldwell was a 19th-century British missionary and linguist renowned for his pioneering comparative study and classification of the Dravidian languages of South India.
-
E.
John Willett
John Willett is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Willett.
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005aff2648190bda885c09421758d |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7f865c08190ab8fd15c14d0c06c |
completed | May 9, 2026, 4:28 a.m. |
| NEDg | Description generation | batch_69feba6899c481909651fec7459a0206 |
completed | May 9, 2026, 4:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69febae016188190bb44709a8c3b01c3 |
completed | May 9, 2026, 4:41 a.m. |
Created at: April 10, 2026, 3:06 a.m.