Triple
T8802654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harris Jayaraj |
E209447
|
entity |
| Predicate | workedWith |
P398
|
FINISHED |
| Object |
Jeeva
Jeeva was an Indian film director and cinematographer known for his visually distinctive work in Tamil cinema.
|
E759185
|
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: Jeeva | Statement: [Harris Jayaraj, workedWith, Jeeva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeeva Context triple: [Harris Jayaraj, workedWith, Jeeva]
-
A.
Nandha
Nandha is a 2001 Tamil-language drama film directed by Bala, widely recognized for Suriya’s breakthrough performance in a gritty, emotionally intense role.
-
B.
Kovai
Kovai is the commonly used local name for Coimbatore, a major industrial and educational city in the South Indian state of Tamil Nadu.
-
C.
Murugan
Murugan is a prominent Hindu deity of war and victory, especially revered in South India and Sri Lanka, often depicted as a youthful god with a spear and associated with wisdom and valor.
-
D.
Will Kuluva
Will Kuluva was an American character actor known for his numerous film and television roles from the 1940s through the 1970s.
-
E.
Kesava
Kesava is a revered epithet of the Hindu god Vishnu, highlighting him as the slayer of the demon Keshi and the one with beautiful, luxuriant hair.
- 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: Jeeva Triple: [Harris Jayaraj, workedWith, Jeeva]
Generated description
Jeeva was an Indian film director and cinematographer known for his visually distinctive work in Tamil cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jeeva Target entity description: Jeeva was an Indian film director and cinematographer known for his visually distinctive work in Tamil cinema.
-
A.
Nandha
Nandha is a 2001 Tamil-language drama film directed by Bala, widely recognized for Suriya’s breakthrough performance in a gritty, emotionally intense role.
-
B.
Kovai
Kovai is the commonly used local name for Coimbatore, a major industrial and educational city in the South Indian state of Tamil Nadu.
-
C.
Murugan
Murugan is a prominent Hindu deity of war and victory, especially revered in South India and Sri Lanka, often depicted as a youthful god with a spear and associated with wisdom and valor.
-
D.
Will Kuluva
Will Kuluva was an American character actor known for his numerous film and television roles from the 1940s through the 1970s.
-
E.
Kesava
Kesava is a revered epithet of the Hindu god Vishnu, highlighting him as the slayer of the demon Keshi and the one with beautiful, luxuriant hair.
- 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_69ca836320e48190b5cf585b90a322c4 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fbb5b108190a9f889d40aa20521 |
completed | March 31, 2026, 11:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf6f799f00819089159da177c816e9 |
completed | April 3, 2026, 7:42 a.m. |
| NEDg | Description generation | batch_69cf708dbd54819099efa4b5729d6298 |
completed | April 3, 2026, 7:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf7163e2088190bf252896cc4036b2 |
completed | April 3, 2026, 7:51 a.m. |
Created at: March 30, 2026, 6:44 p.m.