Triple
T6060776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meitei people |
E135026
|
entity |
| Predicate | traditionalInstrument |
P8530
|
FINISHED |
| Object |
Pena
Pena is a traditional bowed lute-like musical instrument central to the cultural and ritual music of the Meitei people of Manipur in Northeast India.
|
E566346
|
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: Pena | Statement: [Meitei people, traditionalInstrument, Pena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pena Context triple: [Meitei people, traditionalInstrument, Pena]
-
A.
Penela
Penela is a historic municipality in central Portugal known for its medieval castle and scenic location within the Coimbra District.
-
B.
Pénjamo
Pénjamo is a historic town in the Mexican state of Guanajuato, best known as the birthplace of independence leader Miguel Hidalgo y Costilla.
-
C.
PenaVega
PenaVega is the married surname used by actress and singer Alexa PenaVega, known for her roles in the Spy Kids film series and various television and film projects.
-
D.
Varela
Varela is a Spanish surname borne by numerous notable figures in politics, the military, arts, and public life across the Spanish-speaking world.
-
E.
Pernaja
Pernaja is a former municipality and coastal village in southern Finland, now part of the town of Loviisa.
- 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: Pena Triple: [Meitei people, traditionalInstrument, Pena]
Generated description
Pena is a traditional bowed lute-like musical instrument central to the cultural and ritual music of the Meitei people of Manipur in Northeast India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pena Target entity description: Pena is a traditional bowed lute-like musical instrument central to the cultural and ritual music of the Meitei people of Manipur in Northeast India.
-
A.
Penela
Penela is a historic municipality in central Portugal known for its medieval castle and scenic location within the Coimbra District.
-
B.
Pénjamo
Pénjamo is a historic town in the Mexican state of Guanajuato, best known as the birthplace of independence leader Miguel Hidalgo y Costilla.
-
C.
PenaVega
PenaVega is the married surname used by actress and singer Alexa PenaVega, known for her roles in the Spy Kids film series and various television and film projects.
-
D.
Varela
Varela is a Spanish surname borne by numerous notable figures in politics, the military, arts, and public life across the Spanish-speaking world.
-
E.
Pernaja
Pernaja is a former municipality and coastal village in southern Finland, now part of the town of Loviisa.
- 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_69c00878d06881909ee78e88913bf890 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0571fcecc8190a68e0d0668bbbfa7 |
completed | March 22, 2026, 8:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11d197dd08190bcc6904c7c2e41aa |
completed | March 23, 2026, 10:59 a.m. |
| NEDg | Description generation | batch_69c11e4454948190a8f4643cb55e673a |
completed | March 23, 2026, 11:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c11ec554688190bfe184608944a15e |
completed | March 23, 2026, 11:06 a.m. |
Created at: March 22, 2026, 4:10 p.m.