Triple
T2627267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Ariane of the Netherlands |
E59147
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Ariane
Ariane is a Dutch princess, the youngest daughter of King Willem-Alexander and Queen Máxima of the Netherlands.
|
E283521
|
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: Ariane | Statement: [Princess Ariane of the Netherlands, givenName, Ariane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ariane Context triple: [Princess Ariane of the Netherlands, givenName, Ariane]
-
A.
Rosetta
"Rosetta" is a classic jazz standard composed by pianist Earl Hines that has become a staple of the swing and traditional jazz repertoire.
-
B.
Rosetta
Rosetta is a port city in northern Egypt near the Nile Delta, historically renowned as the discovery site of the Rosetta Stone, which was key to deciphering Egyptian hieroglyphs.
-
C.
Hermes spacecraft
The Hermes spacecraft is the advanced interplanetary vessel in Andy Weir’s novel and its film adaptation "The Martian," used by NASA’s Ares crew for travel between Earth and Mars.
-
D.
Antares
Antares was the Lunar Module used in NASA’s Apollo 14 mission to land astronauts on the Moon in 1971.
-
E.
Asteria
Asteria is a figure in Greek mythology, a Titaness associated with falling stars and nocturnal divination.
- 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: Ariane Triple: [Princess Ariane of the Netherlands, givenName, Ariane]
Generated description
Ariane is a Dutch princess, the youngest daughter of King Willem-Alexander and Queen Máxima of the Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ariane Target entity description: Ariane is a Dutch princess, the youngest daughter of King Willem-Alexander and Queen Máxima of the Netherlands.
-
A.
Rosetta
"Rosetta" is a classic jazz standard composed by pianist Earl Hines that has become a staple of the swing and traditional jazz repertoire.
-
B.
Rosetta
Rosetta is a port city in northern Egypt near the Nile Delta, historically renowned as the discovery site of the Rosetta Stone, which was key to deciphering Egyptian hieroglyphs.
-
C.
Hermes spacecraft
The Hermes spacecraft is the advanced interplanetary vessel in Andy Weir’s novel and its film adaptation "The Martian," used by NASA’s Ares crew for travel between Earth and Mars.
-
D.
Antares
Antares was the Lunar Module used in NASA’s Apollo 14 mission to land astronauts on the Moon in 1971.
-
E.
Asteria
Asteria is a figure in Greek mythology, a Titaness associated with falling stars and nocturnal divination.
- 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_69ab4ac558388190962492cd2e1b0ce6 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8b3f72c819085e88f1d74495593 |
completed | March 7, 2026, 7:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af90a06c4c81908cc4dca65f2190bd |
completed | March 10, 2026, 3:31 a.m. |
| NEDg | Description generation | batch_69af92089ef48190bcc31106e98e3cdf |
completed | March 10, 2026, 3:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af927bb1d0819081ab11eb4470e28d |
completed | March 10, 2026, 3:39 a.m. |
Created at: March 6, 2026, 9:50 p.m.