Triple
T16538543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tomb of Queen Sitre |
E401758
|
entity |
| Predicate | belongsTo |
P35
|
FINISHED |
| Object |
Queen Sitre
Queen Sitre was an ancient Egyptian queen, likely a royal consort of the New Kingdom period, known from her dedicated tomb and associated funerary monuments.
|
E1220331
|
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: Queen Sitre | Statement: [Tomb of Queen Sitre, belongsTo, Queen Sitre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Queen Sitre Context triple: [Tomb of Queen Sitre, belongsTo, Queen Sitre]
-
A.
Queen Ramonda
Queen Ramonda is a regal Wakandan matriarch and mother of T’Challa in Marvel’s Black Panther franchise.
-
B.
Queen La
Queen La is a recurring villainess in the Tarzan stories, depicted as the powerful and often sinister queen and high priestess of the lost city of Opar.
-
C.
Queen Kalama
Queen Kalama was a 19th-century Hawaiian queen consort of King Kamehameha III and a prominent member of the Hawaiian monarchy’s ruling elite.
-
D.
Queen Bavmorda
Queen Bavmorda is the ruthless and power-hungry sorceress-queen who serves as the primary villain in the fantasy film "Willow."
-
E.
Queen Neeyutnee
Queen Neeyutnee is a monarch from the Star Wars universe who rules the planet Naboo during the time of the Clone Wars.
- 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: Queen Sitre Triple: [Tomb of Queen Sitre, belongsTo, Queen Sitre]
Generated description
Queen Sitre was an ancient Egyptian queen, likely a royal consort of the New Kingdom period, known from her dedicated tomb and associated funerary monuments.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Queen Sitre Target entity description: Queen Sitre was an ancient Egyptian queen, likely a royal consort of the New Kingdom period, known from her dedicated tomb and associated funerary monuments.
-
A.
Queen Ramonda
Queen Ramonda is a regal Wakandan matriarch and mother of T’Challa in Marvel’s Black Panther franchise.
-
B.
Queen La
Queen La is a recurring villainess in the Tarzan stories, depicted as the powerful and often sinister queen and high priestess of the lost city of Opar.
-
C.
Queen Kalama
Queen Kalama was a 19th-century Hawaiian queen consort of King Kamehameha III and a prominent member of the Hawaiian monarchy’s ruling elite.
-
D.
Queen Bavmorda
Queen Bavmorda is the ruthless and power-hungry sorceress-queen who serves as the primary villain in the fantasy film "Willow."
-
E.
Queen Neeyutnee
Queen Neeyutnee is a monarch from the Star Wars universe who rules the planet Naboo during the time of the Clone Wars.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3455a98b481909e489ea7bd01570a |
completed | April 18, 2026, 8:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067aafee48190a0652fb4fac04a5b |
completed | May 10, 2026, 11:10 a.m. |
| NEDg | Description generation | batch_6a00686f87408190b7d8a41cd54735d8 |
completed | May 10, 2026, 11:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a006b6edd7081908730363b267253dd |
completed | May 10, 2026, 11:26 a.m. |
Created at: April 10, 2026, 5:15 a.m.