Triple
T11794785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borderlands |
E280475
|
entity |
| Predicate | notableCharacter |
P1481
|
FINISHED |
| Object |
Tiny Tina
Tiny Tina is a fan-favorite, explosively eccentric teenage demolitions expert from the Borderlands video game series known for her chaotic humor and unpredictable behavior.
|
E947024
|
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: Tiny Tina | Statement: [Borderlands, notableCharacter, Tiny Tina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tiny Tina Context triple: [Borderlands, notableCharacter, Tiny Tina]
-
A.
Talky Tina
Talky Tina is the sinister talking doll from the classic TV series "The Twilight Zone," known for terrorizing a man who mistreats her owner.
-
B.
Tina
Tina is a character portrayed by actress and comedian Melissa Rauch, known for her energetic and distinctive vocal performances.
-
C.
Tina
Tina, formally known as Baroness Stowell of Beeston, is a British Conservative politician and life peer in the House of Lords.
-
D.
Tina
Tina is the nickname of Tina Fey, an American comedian, writer, actress, and producer best known for her work on Saturday Night Live and 30 Rock.
-
E.
Tina
Tina is a fictional character portrayed by American actress Idara Victor.
- 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: Tiny Tina Triple: [Borderlands, notableCharacter, Tiny Tina]
Generated description
Tiny Tina is a fan-favorite, explosively eccentric teenage demolitions expert from the Borderlands video game series known for her chaotic humor and unpredictable behavior.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tiny Tina Target entity description: Tiny Tina is a fan-favorite, explosively eccentric teenage demolitions expert from the Borderlands video game series known for her chaotic humor and unpredictable behavior.
-
A.
Talky Tina
Talky Tina is the sinister talking doll from the classic TV series "The Twilight Zone," known for terrorizing a man who mistreats her owner.
-
B.
Tina
Tina is the nickname of Tina Fey, an American comedian, writer, actress, and producer best known for her work on Saturday Night Live and 30 Rock.
-
C.
Tina
Tina is a fictional character portrayed by American actress Idara Victor.
-
D.
Tina
Tina is a character portrayed by actress and comedian Melissa Rauch, known for her energetic and distinctive vocal performances.
-
E.
Tina
Tina, formally known as Baroness Stowell of Beeston, is a British Conservative politician and life peer in the House of Lords.
- 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5a082d08190a42541396a06ed98 |
completed | April 10, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f09115c66c8190b0a3e775bdf575c1 |
completed | April 28, 2026, 10:51 a.m. |
| NEDg | Description generation | batch_69f0bd40108c8190863a60cf01cc7201 |
completed | April 28, 2026, 1:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f0ef7e9f388190b33f6c16abadfde9 |
completed | April 28, 2026, 5:33 p.m. |
Created at: April 8, 2026, 9:42 p.m.