Triple
T14410365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lancey Foux |
E357305
|
entity |
| Predicate | hasCollaborationWith |
P398
|
FINISHED |
| Object |
K-Trap
K-Trap is a British rapper known for his gritty lyricism and prominent role in the UK drill scene.
|
E1098159
|
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: K-Trap | Statement: [Lancey Foux, hasCollaborationWith, K-Trap]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: K-Trap Context triple: [Lancey Foux, hasCollaborationWith, K-Trap]
-
A.
Traptanium Traps
Traptanium Traps are collectible crystal devices in the Skylanders universe used to capture and play as defeated villains in the game.
-
B.
Kobaton
Kobaton is the official bird-themed mascot character of Japan’s Saitama Prefecture, designed to promote the region and appear at local events and campaigns.
-
C.
The Trap
"The Trap" is a horror novel by Tabitha King that delves into psychological terror and the darker sides of human relationships in a small-town setting.
-
D.
The Trap
The Trap is a 1966 British adventure drama film set in the Canadian wilderness, starring Rita Tushingham and Oliver Reed.
-
E.
Krobou
Krobou is a Central Tano language spoken by the Krobou people of southern Côte d'Ivoire.
- 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: K-Trap Triple: [Lancey Foux, hasCollaborationWith, K-Trap]
Generated description
K-Trap is a British rapper known for his gritty lyricism and prominent role in the UK drill scene.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: K-Trap Target entity description: K-Trap is a British rapper known for his gritty lyricism and prominent role in the UK drill scene.
-
A.
Traptanium Traps
Traptanium Traps are collectible crystal devices in the Skylanders universe used to capture and play as defeated villains in the game.
-
B.
Kobaton
Kobaton is the official bird-themed mascot character of Japan’s Saitama Prefecture, designed to promote the region and appear at local events and campaigns.
-
C.
The Trap
"The Trap" is a horror novel by Tabitha King that delves into psychological terror and the darker sides of human relationships in a small-town setting.
-
D.
The Trap
The Trap is a 1966 British adventure drama film set in the Canadian wilderness, starring Rita Tushingham and Oliver Reed.
-
E.
Krobou
Krobou is a Central Tano language spoken by the Krobou people of southern Côte d'Ivoire.
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90c9b3448190aec1608836a5e913 |
completed | April 14, 2026, 7:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd55269d8c81909592277741a93db6 |
completed | May 8, 2026, 3:14 a.m. |
| NEDg | Description generation | batch_69fd58216a8c8190b1fffcb670f15e16 |
completed | May 8, 2026, 3:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd589144b8819099aadef126b8728f |
completed | May 8, 2026, 3:29 a.m. |
Created at: April 10, 2026, 1:17 a.m.