Triple
T7855116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Kapp |
E182155
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Kapp
Kapp is a surname most notably associated with Joe Kapp, a former professional football quarterback and coach.
|
E700097
|
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: Kapp | Statement: [Joe Kapp, familyName, Kapp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kapp Context triple: [Joe Kapp, familyName, Kapp]
-
A.
Kapaa
Kapaa is a coastal town on the east side of Kauai, Hawaii, known for its beaches, resorts, and small-town atmosphere.
-
B.
Kaa
Kaa is a giant, hypnotic python who serves as a dangerous and manipulative predator in Disney’s live-action adaptation of The Jungle Book.
-
C.
Kasoa
Kasoa is a rapidly growing urban town in southern Ghana that serves as a major residential and commercial hub on the outskirts of Accra.
-
D.
Kapa
Kapa is a small island in the Vavaʻu island group of the Kingdom of Tonga, known for its scenic South Pacific marine environment.
-
E.
Kapsali
Kapsali is a coastal village and harbor on the Greek island of Kythira, known for its scenic twin bays, beaches, and views of the island’s main town above.
- 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: Kapp Triple: [Joe Kapp, familyName, Kapp]
Generated description
Kapp is a surname most notably associated with Joe Kapp, a former professional football quarterback and coach.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kapp Target entity description: Kapp is a surname most notably associated with Joe Kapp, a former professional football quarterback and coach.
-
A.
Kapaa
Kapaa is a coastal town on the east side of Kauai, Hawaii, known for its beaches, resorts, and small-town atmosphere.
-
B.
Kaa
Kaa is a giant, hypnotic python who serves as a dangerous and manipulative predator in Disney’s live-action adaptation of The Jungle Book.
-
C.
Kasoa
Kasoa is a rapidly growing urban town in southern Ghana that serves as a major residential and commercial hub on the outskirts of Accra.
-
D.
Kapa
Kapa is a small island in the Vavaʻu island group of the Kingdom of Tonga, known for its scenic South Pacific marine environment.
-
E.
Kapsali
Kapsali is a coastal village and harbor on the Greek island of Kythira, known for its scenic twin bays, beaches, and views of the island’s main town above.
- 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_69ca82869ee08190b8f9040dbc2c0467 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb1a74592c8190b42f298e3e33617b |
completed | March 31, 2026, 12:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b27e9b081909a0574458ddf43b0 |
completed | March 31, 2026, 5:27 a.m. |
| NEDg | Description generation | batch_69cb762eab0881909c5035b3086dfdd9 |
completed | March 31, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cbb801cc0c8190864d28e199eb5e67 |
completed | March 31, 2026, 12:03 p.m. |
Created at: March 30, 2026, 4:51 p.m.