Triple
T20351859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BFJA Award for Best Actress |
E496030
|
entity |
| Predicate | presentedByAbbreviation |
P36183
|
FINISHED |
| Object |
BFJA
BFJA is the abbreviation for the Bengal Film Journalists' Association, one of India's oldest film critics' organizations known for honoring excellence in cinema.
|
E1425088
|
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: BFJA | Statement: [BFJA Award for Best Actress, presentedByAbbreviation, BFJA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BFJA Context triple: [BFJA Award for Best Actress, presentedByAbbreviation, BFJA]
-
A.
BFJ
BFJ is the Baseball Federation of Japan, the national governing body that oversees and promotes baseball activities and competitions throughout Japan.
-
B.
FAJS
FAJS is the former ICAO airport code that was used to identify O. R. Tambo International Airport in Johannesburg, South Africa.
-
C.
BF
BF is the IATA airline designator for French Bee, a French low-cost long-haul carrier.
-
D.
BF
BF is the two-letter ISO 3166-1 alpha-2 country code assigned to Burkina Faso.
-
E.
FAJ
FAJ is the commonly used abbreviation for the Cariduros de Fajardo, a professional basketball team based in Fajardo, Puerto Rico.
- 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: BFJA Triple: [BFJA Award for Best Actress, presentedByAbbreviation, BFJA]
Generated description
BFJA is the abbreviation for the Bengal Film Journalists' Association, one of India's oldest film critics' organizations known for honoring excellence in cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BFJA Target entity description: BFJA is the abbreviation for the Bengal Film Journalists' Association, one of India's oldest film critics' organizations known for honoring excellence in cinema.
-
A.
BFJ
BFJ is the Baseball Federation of Japan, the national governing body that oversees and promotes baseball activities and competitions throughout Japan.
-
B.
FAJS
FAJS is the former ICAO airport code that was used to identify O. R. Tambo International Airport in Johannesburg, South Africa.
-
C.
BF
BF is the IATA airline designator for French Bee, a French low-cost long-haul carrier.
-
D.
BF
BF is the two-letter ISO 3166-1 alpha-2 country code assigned to Burkina Faso.
-
E.
FAJ
FAJ is the commonly used abbreviation for the Cariduros de Fajardo, a professional basketball team based in Fajardo, Puerto Rico.
- 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_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67850ace48190b19aff5780fef7e8 |
completed | April 20, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a086967aef88190b138be722f410e82 |
completed | May 16, 2026, 12:56 p.m. |
| NEDg | Description generation | batch_6a0869f7b4208190858fdeae882e008d |
completed | May 16, 2026, 12:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a086a893f1c81909bc40e3c4db0e147 |
completed | May 16, 2026, 1 p.m. |
Created at: April 16, 2026, 11:24 a.m.