Triple
T14537090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tavi Gevinson |
E341074
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Tavi
Tavi is an American writer, actress, and former teen fashion blogger best known as the founder and editor-in-chief of the online magazine Rookie.
|
E1104461
|
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: Tavi | Statement: [Tavi Gevinson, givenName, Tavi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tavi Context triple: [Tavi Gevinson, givenName, Tavi]
-
A.
Tarver
Tarver is a surname most prominently associated with American former professional boxer and world champion Antonio Tarver.
-
B.
Tayvon
Tayvon is a hip-hop artist known for contributing a featured verse to the track "Loyalty Is Royalty."
-
C.
Tavon
Tavon is a masculine given name, often used in the United States and associated with several contemporary public figures and athletes.
-
D.
Tyvia
Tyvia is a frigid, northern island nation in the Dishonored game universe, known for its harsh climate, whaling industry, and role as one of the major powers of the Empire of the Isles.
-
E.
Tye
Tye is the first name of American actor Tye Sheridan, known for roles in films like "Mud," "Ready Player One," and the "X-Men" series.
- 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: Tavi Triple: [Tavi Gevinson, givenName, Tavi]
Generated description
Tavi is an American writer, actress, and former teen fashion blogger best known as the founder and editor-in-chief of the online magazine Rookie.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tavi Target entity description: Tavi is an American writer, actress, and former teen fashion blogger best known as the founder and editor-in-chief of the online magazine Rookie.
-
A.
Tarver
Tarver is a surname most prominently associated with American former professional boxer and world champion Antonio Tarver.
-
B.
Tayvon
Tayvon is a hip-hop artist known for contributing a featured verse to the track "Loyalty Is Royalty."
-
C.
Tavon
Tavon is a masculine given name, often used in the United States and associated with several contemporary public figures and athletes.
-
D.
Tyvia
Tyvia is a frigid, northern island nation in the Dishonored game universe, known for its harsh climate, whaling industry, and role as one of the major powers of the Empire of the Isles.
-
E.
Tye
Tye is the first name of American actor Tye Sheridan, known for roles in films like "Mud," "Ready Player One," and the "X-Men" series.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb1bb90008190947ac0961393446d |
completed | April 14, 2026, 9:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a5ae04881909e7eb766fca33066 |
completed | May 8, 2026, 5:53 a.m. |
| NEDg | Description generation | batch_69fd7b0160a08190ae181eb7acb3b6bc |
completed | May 8, 2026, 5:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd7be778dc81908b0602bab944330a |
completed | May 8, 2026, 6 a.m. |
Created at: April 10, 2026, 1:22 a.m.