Triple
T23204911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B. R. Bhagwat |
E580423
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Faster Fene series
The Faster Fene series is a popular Marathi detective-adventure book collection for children and young adults, centered on the clever schoolboy sleuth Banesh “Faster” Fene.
|
E1575883
|
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: Faster Fene series | Statement: [B. R. Bhagwat, notableWork, Faster Fene series]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faster Fene series Context triple: [B. R. Bhagwat, notableWork, Faster Fene series]
-
A.
Faster
Faster is a 2010 American action thriller film starring Dwayne Johnson as an ex-con seeking revenge after his brother’s murder.
-
B.
Faster
"Faster" is a track from the Girls Aloud album "On Your Radar," showcasing the group's upbeat pop-dance sound.
-
C.
A Faster Horse
A Faster Horse is a documentary film that explores the history, design, and cultural impact of the Ford Mustang.
-
D.
Fastiv
Fastiv is a historic city in northern Ukraine known as a regional railway hub and industrial center southwest of Kyiv.
-
E.
Rapid Fire
Rapid Fire is a 1992 American action film starring Brandon Lee as a college student who becomes entangled in a deadly conflict between drug lords and federal agents.
- 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: Faster Fene series Triple: [B. R. Bhagwat, notableWork, Faster Fene series]
Generated description
The Faster Fene series is a popular Marathi detective-adventure book collection for children and young adults, centered on the clever schoolboy sleuth Banesh “Faster” Fene.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Faster Fene series Target entity description: The Faster Fene series is a popular Marathi detective-adventure book collection for children and young adults, centered on the clever schoolboy sleuth Banesh “Faster” Fene.
-
A.
Faster
"Faster" is a track from the Girls Aloud album "On Your Radar," showcasing the group's upbeat pop-dance sound.
-
B.
Faster
Faster is a 2010 American action thriller film starring Dwayne Johnson as an ex-con seeking revenge after his brother’s murder.
-
C.
A Faster Horse
A Faster Horse is a documentary film that explores the history, design, and cultural impact of the Ford Mustang.
-
D.
Fastiv
Fastiv is a historic city in northern Ukraine known as a regional railway hub and industrial center southwest of Kyiv.
-
E.
Rapid Fire
Rapid Fire is a 1992 American action film starring Brandon Lee as a college student who becomes entangled in a deadly conflict between drug lords and federal agents.
- 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_69e24602ae1481908aaa6bc7ca493867 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1907c1d7c8190aca252a39ae0da86 |
completed | April 29, 2026, 5 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c30c2ac508190ab718e22afde7a73 |
completed | May 19, 2026, 9:43 a.m. |
| NEDg | Description generation | batch_6a0c332f5ef08190ab7f6536eb719e04 |
completed | May 19, 2026, 9:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c374ded1c8190b1d5c7a3ab521cf9 |
completed | May 19, 2026, 10:11 a.m. |
Created at: April 17, 2026, 4:07 p.m.