Triple
T26125710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Himu |
E659093
|
entity |
| Predicate | hasNameInBengaliScript |
P25995
|
FINISHED |
| Object |
হিমু
হিমু হল হুমায়ূন আহমেদের সৃষ্ট এক জনপ্রিয় কাল্পনিক চরিত্র, যে হলুদ পাঞ্জাবি পরে ভবঘুরে জীবনযাপন ও অদ্ভুত দর্শনচর্চার জন্য পরিচিত।
|
E1712330
|
NE FINISHED |
How this triple was built (3 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: হিমু | Statement: [Himu, hasNameInBengaliScript, হিমু]
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: হিমু Triple: [Himu, hasNameInBengaliScript, হিমু]
Generated description
হিমু হল হুমায়ূন আহমেদের সৃষ্ট এক জনপ্রিয় কাল্পনিক চরিত্র, যে হলুদ পাঞ্জাবি পরে ভবঘুরে জীবনযাপন ও অদ্ভুত দর্শনচর্চার জন্য পরিচিত।
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNameInBengaliScript Context triple: [Himu, hasNameInBengaliScript, হিমু]
-
A.
hasNameInTeluguScript
Indicates that an entity is associated with a name written in the Telugu script.
-
B.
nameInBengali
chosen
Indicates that an entity’s name is expressed in the Bengali language.
-
C.
hasNameInPunjabi
Indicates that an entity is associated with a specific name expressed in the Punjabi language.
-
D.
hasNameInMalayalam
Indicates that an entity is associated with a specific name expressed in the Malayalam language.
-
E.
hasNameInHebrew
Indicates that an entity is associated with a specific name expressed in the Hebrew language.
- F. None of above.
Provenance (6 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_69ee5bc2b2948190b458ad3f580af779 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f6aaf50be08190a2b62a6d881f8aee |
completed | May 3, 2026, 1:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a11275cb74481908b7d8203e5fbdf54 |
completed | May 23, 2026, 4:04 a.m. |
| NEDg | Description generation | batch_6a11471d74fc81908b96c372d7662326 |
completed | May 23, 2026, 6:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a114adf8be881909cfbfbf8ea77d1d4 |
completed | May 23, 2026, 6:36 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1c555081908787dbf76147f180 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 26, 2026, 8:11 p.m.