Triple
T16624778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ashelin Praxis |
E403917
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Praxis
Praxis is the surname of Ashelin Praxis, a prominent character in the Jak and Daxter video game series.
|
E1224690
|
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: Praxis | Statement: [Ashelin Praxis, familyName, Praxis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Praxis Context triple: [Ashelin Praxis, familyName, Praxis]
-
A.
Praktikos
Praktikos is an early Christian ascetic treatise by Evagrius Ponticus that outlines practical guidance for monks on combating thoughts and cultivating virtue.
-
B.
Praktan
Praktan is a 2016 Bengali romantic drama film that explores the complexities of past relationships and chance encounters, directed by Nandita Roy and Shiboprosad Mukherjee.
-
C.
PRAC
PRAC is a committee within the European Medicines Agency responsible for assessing and monitoring the safety of human medicines.
-
D.
El Pris
El Pris is a small coastal village on the northern coast of Tenerife in the Canary Islands, known for its traditional fishing character and natural swimming areas.
-
E.
Prysm
Prysm is a widely used Ethereum consensus client implementation written in Go that helps manage validators and secure the network under proof-of-stake.
- 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: Praxis Triple: [Ashelin Praxis, familyName, Praxis]
Generated description
Praxis is the surname of Ashelin Praxis, a prominent character in the Jak and Daxter video game series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Praxis Target entity description: Praxis is the surname of Ashelin Praxis, a prominent character in the Jak and Daxter video game series.
-
A.
Praktikos
Praktikos is an early Christian ascetic treatise by Evagrius Ponticus that outlines practical guidance for monks on combating thoughts and cultivating virtue.
-
B.
Praktan
Praktan is a 2016 Bengali romantic drama film that explores the complexities of past relationships and chance encounters, directed by Nandita Roy and Shiboprosad Mukherjee.
-
C.
PRAC
PRAC is a committee within the European Medicines Agency responsible for assessing and monitoring the safety of human medicines.
-
D.
El Pris
El Pris is a small coastal village on the northern coast of Tenerife in the Canary Islands, known for its traditional fishing character and natural swimming areas.
-
E.
Prysm
Prysm is a widely used Ethereum consensus client implementation written in Go that helps manage validators and secure the network under proof-of-stake.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37551cd888190becc21deba87980d |
completed | April 18, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007db866e48190886aec7658835543 |
completed | May 10, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_6a007ee625c48190a7a97f34d5788808 |
completed | May 10, 2026, 12:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007f75e7e48190ac5cf912cca60d9c |
completed | May 10, 2026, 12:52 p.m. |
Created at: April 10, 2026, 5:17 a.m.