Triple
T13734628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Collections of Colonies of Bees |
E329904
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Matthew Skemp
Matthew Skemp is a musician best known as a member of the experimental indie rock band Collections of Colonies of Bees.
|
E1070064
|
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: Matthew Skemp | Statement: [Collections of Colonies of Bees, hasMember, Matthew Skemp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matthew Skemp Context triple: [Collections of Colonies of Bees, hasMember, Matthew Skemp]
-
A.
Matthew Skemp
Matthew Skemp is a musician best known as a member of the experimental indie rock band Volcano Choir.
-
B.
Matthew Weaver
Matthew Weaver is a film and theater producer best known for his work on the rock musical and subsequent film adaptation "Rock of Ages."
-
C.
Matthew Kellard
Matthew Kellard is a screenwriter known for his work on the film "Night School."
-
D.
Matthew Benham
Matthew Benham is an English professional gambler and businessman best known for using data-driven, analytics-based methods to transform Brentford F.C. from the lower leagues into a successful, Premier League club.
-
E.
Matthew Rolph
Matthew Rolph is an American actor and comedian best known for his marriage to actress and comedian Mary Lynn Rajskub.
- 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: Matthew Skemp Triple: [Collections of Colonies of Bees, hasMember, Matthew Skemp]
Generated description
Matthew Skemp is a musician best known as a member of the experimental indie rock band Collections of Colonies of Bees.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matthew Skemp Target entity description: Matthew Skemp is a musician best known as a member of the experimental indie rock band Collections of Colonies of Bees.
-
A.
Matthew Skemp
Matthew Skemp is a musician best known as a member of the experimental indie rock band Volcano Choir.
-
B.
Matthew Weaver
Matthew Weaver is a film and theater producer best known for his work on the rock musical and subsequent film adaptation "Rock of Ages."
-
C.
Matthew Kellard
Matthew Kellard is a screenwriter known for his work on the film "Night School."
-
D.
Matthew Benham
Matthew Benham is an English professional gambler and businessman best known for using data-driven, analytics-based methods to transform Brentford F.C. from the lower leagues into a successful, Premier League club.
-
E.
Matthew Rolph
Matthew Rolph is an American actor and comedian best known for his marriage to actress and comedian Mary Lynn Rajskub.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de0201d3c48190aa306be231a28bc1 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce64676c8190921796666ecd3dba |
completed | May 3, 2026, 10:38 p.m. |
| NEDg | Description generation | batch_69f9fd56da288190b2bd33bc496c3fb9 |
completed | May 5, 2026, 2:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fb039fdb1c8190ad5286d1cfe80a29 |
completed | May 6, 2026, 9:02 a.m. |
Created at: April 9, 2026, 9:55 p.m.