Triple
T6021941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sipán |
E134084
|
entity |
| Predicate | excavatedBy |
P7650
|
FINISHED |
| Object |
Susana Meneses
Susana Meneses is an archaeologist known for her role in excavating the ancient Moche site of Sipán in Peru.
|
E590092
|
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: Susana Meneses | Statement: [Sipán, excavatedBy, Susana Meneses]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susana Meneses Context triple: [Sipán, excavatedBy, Susana Meneses]
-
A.
Ester Roa
Ester Roa was a prominent Chilean civic leader and former mayor of Concepción, recognized for her significant contributions to the city's development.
-
B.
Adela Medrano
Adela Medrano is known as the former wife of acclaimed Spanish film director Carlos Saura.
-
C.
María Pinto
María Pinto is a rural commune and town in central Chile known for its agricultural activities and location within the Santiago Metropolitan Region.
-
D.
Mónica Naranjo
Mónica Naranjo is a Spanish singer and songwriter known for her powerful vocal range and influential pop and dance music career since the 1990s.
-
E.
Hildebranda Sánchez
Hildebranda Sánchez is a supporting character in Gabriel García Márquez’s novel "Love in the Time of Cholera," known as Fermina Daza’s lively and loyal cousin.
- 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: Susana Meneses Triple: [Sipán, excavatedBy, Susana Meneses]
Generated description
Susana Meneses is an archaeologist known for her role in excavating the ancient Moche site of Sipán in Peru.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Susana Meneses Target entity description: Susana Meneses is an archaeologist known for her role in excavating the ancient Moche site of Sipán in Peru.
-
A.
Ester Roa
Ester Roa was a prominent Chilean civic leader and former mayor of Concepción, recognized for her significant contributions to the city's development.
-
B.
Adela Medrano
Adela Medrano is known as the former wife of acclaimed Spanish film director Carlos Saura.
-
C.
María Pinto
María Pinto is a rural commune and town in central Chile known for its agricultural activities and location within the Santiago Metropolitan Region.
-
D.
Mónica Naranjo
Mónica Naranjo is a Spanish singer and songwriter known for her powerful vocal range and influential pop and dance music career since the 1990s.
-
E.
Hildebranda Sánchez
Hildebranda Sánchez is a supporting character in Gabriel García Márquez’s novel "Love in the Time of Cholera," known as Fermina Daza’s lively and loyal cousin.
- 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_69c008742a5c8190b9cb9c2787a3d8b3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04fbbf03c8190baf449a5d393af5c |
completed | March 22, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c63849a59881909e32c0271b4beb51 |
completed | March 27, 2026, 7:56 a.m. |
| NEDg | Description generation | batch_69c63a56844481909c01dbdfb04233de |
completed | March 27, 2026, 8:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c63abed65081908576b9c348a494bb |
completed | March 27, 2026, 8:07 a.m. |
Created at: March 22, 2026, 4:07 p.m.