Triple
T16183396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hum Hain Rahi Pyar Ke |
E392739
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Baby Ashrafa
Baby Ashrafa is a child actress known for appearing in the popular Hindi film "Hum Hain Rahi Pyar Ke."
|
E1199388
|
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: Baby Ashrafa | Statement: [Hum Hain Rahi Pyar Ke, starring, Baby Ashrafa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baby Ashrafa Context triple: [Hum Hain Rahi Pyar Ke, starring, Baby Ashrafa]
-
A.
Amal
Amal is a feminine given name of Arabic origin meaning "hope" or "aspiration," used in various cultures around the world.
-
B.
Umamah
Umamah is a female given name of Arabic origin, historically borne by a granddaughter of the Prophet Muhammad.
-
C.
Baby Taj
Baby Taj is a Mughal-era white marble mausoleum in Agra, India, often considered a draft of the Taj Mahal due to its intricate inlay work and elegant architecture.
-
D.
Small Hasan
Small Hasan is one of the twin summits of Mount Hasan, a prominent stratovolcano in central Turkey.
-
E.
Aykah
Aykah is a community mentioned in Islamic tradition as the people to whom the prophet Shu'ayb was sent, known for their wrongdoing and subsequent divine punishment.
- 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: Baby Ashrafa Triple: [Hum Hain Rahi Pyar Ke, starring, Baby Ashrafa]
Generated description
Baby Ashrafa is a child actress known for appearing in the popular Hindi film "Hum Hain Rahi Pyar Ke."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Baby Ashrafa Target entity description: Baby Ashrafa is a child actress known for appearing in the popular Hindi film "Hum Hain Rahi Pyar Ke."
-
A.
Amal
Amal is a feminine given name of Arabic origin meaning "hope" or "aspiration," used in various cultures around the world.
-
B.
Umamah
Umamah is a female given name of Arabic origin, historically borne by a granddaughter of the Prophet Muhammad.
-
C.
Baby Taj
Baby Taj is a Mughal-era white marble mausoleum in Agra, India, often considered a draft of the Taj Mahal due to its intricate inlay work and elegant architecture.
-
D.
Small Hasan
Small Hasan is one of the twin summits of Mount Hasan, a prominent stratovolcano in central Turkey.
-
E.
Aykah
Aykah is a community mentioned in Islamic tradition as the people to whom the prophet Shu'ayb was sent, known for their wrongdoing and subsequent divine punishment.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2205ef39081908da383abdebc2ccc |
completed | April 17, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffff03400481908e66db8cf0213c15 |
completed | May 10, 2026, 3:44 a.m. |
| NEDg | Description generation | batch_6a0000ceba648190ac5ecefd34f10d4e |
completed | May 10, 2026, 3:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00013fdb1c8190add653fc1cf30e44 |
completed | May 10, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:02 a.m.