Triple
T8550788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rajinikanth |
E202437
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Lal Salaam
Lal Salaam is an Indian Tamil-language film featuring superstar Rajinikanth in a prominent role, blending sports drama with social and political themes.
|
E740588
|
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: Lal Salaam | Statement: [Rajinikanth, notableWork, Lal Salaam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lal Salaam Context triple: [Rajinikanth, notableWork, Lal Salaam]
-
A.
Saddar
Saddar is a major commercial and administrative district in Karachi, Pakistan, known for its bustling markets, colonial-era architecture, and central location.
-
B.
Salwa
Salwa is a coastal residential district in Kuwait, located within the Hawalli Governorate and known for its mix of housing, schools, and local amenities.
-
C.
Tajewala
Tajewala is a village in the Yamunanagar district of Haryana, India, historically known for the Tajewala Barrage on the Yamuna River, which was later replaced by the nearby Hathni Kund Barrage.
-
D.
Laabi
Laabi is a small village located in Harku Parish in northern Estonia.
-
E.
Ya'uq
Ya'uq is an idol mentioned in Islamic tradition as one of the false gods worshipped by the people of Prophet Noah.
- 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: Lal Salaam Triple: [Rajinikanth, notableWork, Lal Salaam]
Generated description
Lal Salaam is an Indian Tamil-language film featuring superstar Rajinikanth in a prominent role, blending sports drama with social and political themes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lal Salaam Target entity description: Lal Salaam is an Indian Tamil-language film featuring superstar Rajinikanth in a prominent role, blending sports drama with social and political themes.
-
A.
Saddar
Saddar is a major commercial and administrative district in Karachi, Pakistan, known for its bustling markets, colonial-era architecture, and central location.
-
B.
Salwa
Salwa is a coastal residential district in Kuwait, located within the Hawalli Governorate and known for its mix of housing, schools, and local amenities.
-
C.
Tajewala
Tajewala is a village in the Yamunanagar district of Haryana, India, historically known for the Tajewala Barrage on the Yamuna River, which was later replaced by the nearby Hathni Kund Barrage.
-
D.
Laabi
Laabi is a small village located in Harku Parish in northern Estonia.
-
E.
Ya'uq
Ya'uq is an idol mentioned in Islamic tradition as one of the false gods worshipped by the people of Prophet Noah.
- 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_69ca832610e08190b3b6c6cd2c250255 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe75589d8819096177ddbd3dafcb6 |
completed | March 31, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6dc1bb5481909ddd3af564c24c0c |
completed | April 2, 2026, 1:23 p.m. |
| NEDg | Description generation | batch_69ce6ec45bfc8190adc358d4c5fdc82a |
completed | April 2, 2026, 1:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce6f4177b08190867c099e4f1206a2 |
completed | April 2, 2026, 1:29 p.m. |
Created at: March 30, 2026, 6:19 p.m.