Triple
T14816559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zoe Tapper |
E348332
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Tapper
Tapper is a surname most notably associated with English actress Zoe Tapper.
|
E1122495
|
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: Tapper | Statement: [Zoe Tapper, familyName, Tapper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tapper Context triple: [Zoe Tapper, familyName, Tapper]
-
A.
Tuker
Tuker is a surname most notably associated with British Army officer Sir Francis Tuker, who served prominently during World War II.
-
B.
Tunner
Tunner is a surname most notably associated with William H. Tunner, a prominent U.S. Air Force general known for organizing major airlift operations such as the Berlin Airlift.
-
C.
Shriever
Shriever is a surname, a variant spelling of "Shriver," borne by various individuals of English-speaking origin.
-
D.
Tucker
Tucker is a paranormal investigator character from the Insidious horror film series, known for his tech-based ghost-hunting work alongside his partner Specs.
-
E.
Tucker
Tucker is the criminal defendant whose custodial interrogation and subsequent appeal led to the U.S. Supreme Court decision in Michigan v. Tucker, which clarified the scope of Miranda-related protections.
- 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: Tapper Triple: [Zoe Tapper, familyName, Tapper]
Generated description
Tapper is a surname most notably associated with English actress Zoe Tapper.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tapper Target entity description: Tapper is a surname most notably associated with English actress Zoe Tapper.
-
A.
Tuker
Tuker is a surname most notably associated with British Army officer Sir Francis Tuker, who served prominently during World War II.
-
B.
Tunner
Tunner is a surname most notably associated with William H. Tunner, a prominent U.S. Air Force general known for organizing major airlift operations such as the Berlin Airlift.
-
C.
Shriever
Shriever is a surname, a variant spelling of "Shriver," borne by various individuals of English-speaking origin.
-
D.
Tucker
Tucker is a paranormal investigator character from the Insidious horror film series, known for his tech-based ghost-hunting work alongside his partner Specs.
-
E.
Tucker
Tucker is the criminal defendant whose custodial interrogation and subsequent appeal led to the U.S. Supreme Court decision in Michigan v. Tucker, which clarified the scope of Miranda-related protections.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe2c1ec81908b3dff7a5d0e85d0 |
completed | April 14, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe3897691c819085ef89480e730723 |
completed | May 8, 2026, 7:25 p.m. |
| NEDg | Description generation | batch_69fe5178e8b481909c88ee7db29f037c |
completed | May 8, 2026, 9:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe5217512c8190b0cea476f4b95007 |
completed | May 8, 2026, 9:13 p.m. |
Created at: April 10, 2026, 1:49 a.m.