Triple
T7122038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aparajito |
E165970
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Harihar
Harihar is a struggling rural Brahmin priest and father whose aspirations and hardships form a central emotional thread in Satyajit Ray’s Apu Trilogy.
|
E643174
|
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: Harihar | Statement: [Aparajito, mainCharacter, Harihar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harihar Context triple: [Aparajito, mainCharacter, Harihar]
-
A.
Devanahalli
Devanahalli is a town near Bengaluru in the Indian state of Karnataka, notable for its rapid development and proximity to Kempegowda International Airport.
-
B.
Singhwara
Singhwara is a town located in the Darbhanga district of the Indian state of Bihar.
-
C.
Gorikot
Gorikot is a village and local hub in Pakistan’s Astore Valley, serving as a gateway to nearby mountain regions and trekking routes.
-
D.
Purna
Purna is a river in India that serves as one of the important tributaries of the Godavari River.
-
E.
Vijay Nagar
Vijay Nagar is a residential and commercial neighborhood in Delhi, India, known for its student population and proximity to major universities.
- 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: Harihar Triple: [Aparajito, mainCharacter, Harihar]
Generated description
Harihar is a struggling rural Brahmin priest and father whose aspirations and hardships form a central emotional thread in Satyajit Ray’s Apu Trilogy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Harihar Target entity description: Harihar is a struggling rural Brahmin priest and father whose aspirations and hardships form a central emotional thread in Satyajit Ray’s Apu Trilogy.
-
A.
Devanahalli
Devanahalli is a town near Bengaluru in the Indian state of Karnataka, notable for its rapid development and proximity to Kempegowda International Airport.
-
B.
Singhwara
Singhwara is a town located in the Darbhanga district of the Indian state of Bihar.
-
C.
Gorikot
Gorikot is a village and local hub in Pakistan’s Astore Valley, serving as a gateway to nearby mountain regions and trekking routes.
-
D.
Purna
Purna is a river in India that serves as one of the important tributaries of the Godavari River.
-
E.
Vijay Nagar
Vijay Nagar is a residential and commercial neighborhood in Delhi, India, known for its student population and proximity to major universities.
- 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_69c6888227bc8190a1394679e3116f90 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e6493fd88190b0c066a2ad74917c |
completed | March 27, 2026, 8:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7a32e8098819090b88fc920416f6b |
completed | March 28, 2026, 9:45 a.m. |
| NEDg | Description generation | batch_69c7a3f2b51c81909f058149e9bd9f0a |
completed | March 28, 2026, 9:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7a4a9e91881909df07f1c540f191e |
completed | March 28, 2026, 9:51 a.m. |
Created at: March 27, 2026, 2:44 p.m.