Triple
T8607228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | April Showers |
E203829
|
entity |
| Predicate | introducedIn |
P513
|
FINISHED |
| Object |
Bombo
Bombo is a 1934 American comedy film starring the British music hall duo Flanagan and Allen, known for its lighthearted musical numbers and slapstick humor.
|
E745682
|
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: Bombo | Statement: [April Showers, introducedIn, Bombo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bombo Context triple: [April Showers, introducedIn, Bombo]
-
A.
Bomba
Bomba is a traditional Afro-Puerto Rican musical and dance genre characterized by call-and-response singing, barrel drums, and improvisational interaction between dancers and drummers.
-
B.
La Bomba
La Bomba is the famous nickname of Spanish basketball legend Juan Carlos Navarro, renowned for his explosive scoring and clutch shooting.
-
C.
Las Bombas
Las Bombas is a Metrobús station in Mexico City that serves as a terminus on Line 5 of the bus rapid transit system.
-
D.
Bugaloo
Bugaloo is a minor character in the 1994 basketball-themed drama film "Above the Rim."
-
E.
Cim Bom
Cim Bom is a popular nickname for Galatasaray SK, one of Turkey’s most successful and widely supported football clubs.
- 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: Bombo Triple: [April Showers, introducedIn, Bombo]
Generated description
Bombo is a 1934 American comedy film starring the British music hall duo Flanagan and Allen, known for its lighthearted musical numbers and slapstick humor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bombo Target entity description: Bombo is a 1934 American comedy film starring the British music hall duo Flanagan and Allen, known for its lighthearted musical numbers and slapstick humor.
-
A.
Bomba
Bomba is a traditional Afro-Puerto Rican musical and dance genre characterized by call-and-response singing, barrel drums, and improvisational interaction between dancers and drummers.
-
B.
La Bomba
La Bomba is the famous nickname of Spanish basketball legend Juan Carlos Navarro, renowned for his explosive scoring and clutch shooting.
-
C.
Las Bombas
Las Bombas is a Metrobús station in Mexico City that serves as a terminus on Line 5 of the bus rapid transit system.
-
D.
Bugaloo
Bugaloo is a minor character in the 1994 basketball-themed drama film "Above the Rim."
-
E.
Cim Bom
Cim Bom is a popular nickname for Galatasaray SK, one of Turkey’s most successful and widely supported football clubs.
- 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_69ca832c23e4819095a9f3eea4a21828 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46eabe2c8190a2d13c353055a785 |
completed | March 31, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea909757c819095dd38644c21af33 |
completed | April 2, 2026, 5:36 p.m. |
| NEDg | Description generation | batch_69cea9d23cc88190b937e89b9aa2bd66 |
completed | April 2, 2026, 5:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ceaae76d188190932826c9fd9f7f5f |
completed | April 2, 2026, 5:44 p.m. |
Created at: March 30, 2026, 6:25 p.m.