Triple
T15056102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rafiki's Planet Watch |
E379495
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Affection Section
Affection Section is an interactive animal encounter area at Disney's Animal Kingdom where guests can meet and pet domesticated animals in a family-friendly setting.
|
E1134969
|
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: Affection Section | Statement: [Rafiki's Planet Watch, hasPart, Affection Section]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Affection Section Context triple: [Rafiki's Planet Watch, hasPart, Affection Section]
-
A.
Love and Affection
"Love and Affection" is a soulful R&B ballad by Sheena Easton, noted for its smooth production and emotive vocal performance.
-
B.
Kind Love
Kind Love is a song by Nigerian singer Ayo, known for her soulful blend of folk, reggae, and acoustic pop influences.
-
C.
Natural Love
Natural Love is a song featured on the album "What Comes Naturally."
-
D.
Occasion for Loving
Occasion for Loving is a novel by South African writer Nadine Gordimer that explores interracial love and the moral complexities of life under apartheid.
-
E.
Affectionately Yours
Affectionately Yours is a 1941 romantic comedy film starring Merle Oberon, known for its lighthearted blend of romance and screwball humor.
- 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: Affection Section Triple: [Rafiki's Planet Watch, hasPart, Affection Section]
Generated description
Affection Section is an interactive animal encounter area at Disney's Animal Kingdom where guests can meet and pet domesticated animals in a family-friendly setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Affection Section Target entity description: Affection Section is an interactive animal encounter area at Disney's Animal Kingdom where guests can meet and pet domesticated animals in a family-friendly setting.
-
A.
Love and Affection
"Love and Affection" is a soulful R&B ballad by Sheena Easton, noted for its smooth production and emotive vocal performance.
-
B.
Kind Love
Kind Love is a song by Nigerian singer Ayo, known for her soulful blend of folk, reggae, and acoustic pop influences.
-
C.
Natural Love
Natural Love is a song featured on the album "What Comes Naturally."
-
D.
Occasion for Loving
Occasion for Loving is a novel by South African writer Nadine Gordimer that explores interracial love and the moral complexities of life under apartheid.
-
E.
Affectionately Yours
Affectionately Yours is a 1941 romantic comedy film starring Merle Oberon, known for its lighthearted blend of romance and screwball humor.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69deda937f788190899d81bbb2084443 |
completed | April 15, 2026, 12:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5c11fb4819086c4b85a8d29ccf7 |
completed | May 9, 2026, 3:10 a.m. |
| NEDg | Description generation | batch_69fea70a10b88190aac09e3b690afa6f |
completed | May 9, 2026, 3:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fea82a80888190bbb0de39a8959a6e |
completed | May 9, 2026, 3:21 a.m. |
Created at: April 10, 2026, 3:01 a.m.