Triple
T16761783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camelia Tannis |
E407361
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Tannis
Tannis is a surname that can refer to various individuals, including those with the given name Camelia.
|
E1232449
|
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: Tannis | Statement: [Camelia Tannis, familyName, Tannis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tannis Context triple: [Camelia Tannis, familyName, Tannis]
-
A.
Bardaï
Bardaï is a remote oasis town in northern Chad that serves as an important administrative and cultural center in the Tibesti region.
-
B.
Damara
The Damara are an indigenous ethnic group of Namibia known for their distinct language, rich oral traditions, and historical presence in the country’s northwestern regions.
-
C.
Channah
Channah is a given name, often considered a variant of the Hebrew name Hannah, traditionally associated with grace or favor.
-
D.
Éliante
Éliante is a thoughtful and moderate young woman in Molière’s play *Le Misanthrope*, often seen as the voice of reason and a foil to the more extreme characters.
-
E.
Bria Tharen
Bria Tharen is a character from the Star Wars Expanded Universe, best known as a Corellian freedom fighter, former lover of Han Solo, and an early leader in the Rebel Alliance.
- 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: Tannis Triple: [Camelia Tannis, familyName, Tannis]
Generated description
Tannis is a surname that can refer to various individuals, including those with the given name Camelia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tannis Target entity description: Tannis is a surname that can refer to various individuals, including those with the given name Camelia.
-
A.
Bardaï
Bardaï is a remote oasis town in northern Chad that serves as an important administrative and cultural center in the Tibesti region.
-
B.
Damara
The Damara are an indigenous ethnic group of Namibia known for their distinct language, rich oral traditions, and historical presence in the country’s northwestern regions.
-
C.
Channah
Channah is a given name, often considered a variant of the Hebrew name Hannah, traditionally associated with grace or favor.
-
D.
Éliante
Éliante is a thoughtful and moderate young woman in Molière’s play *Le Misanthrope*, often seen as the voice of reason and a foil to the more extreme characters.
-
E.
Bria Tharen
Bria Tharen is a character from the Star Wars Expanded Universe, best known as a Corellian freedom fighter, former lover of Han Solo, and an early leader in the Rebel Alliance.
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3abed67f88190afb1d392ff01a5e7 |
completed | April 18, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a52d077081908080c61da67e0032 |
completed | May 10, 2026, 3:33 p.m. |
| NEDg | Description generation | batch_6a00a685753881908c3fef10823ce569 |
completed | May 10, 2026, 3:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00a7174f5c8190891ddd180c50aee3 |
completed | May 10, 2026, 3:41 p.m. |
Created at: April 10, 2026, 5:21 a.m.