Triple
T12622357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linda Tripp |
E301414
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Tripp
Tripp is a surname most notably associated with Linda Tripp, a key figure in the Clinton–Lewinsky scandal of the late 1990s.
|
E992570
|
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: Tripp | Statement: [Linda Tripp, familyName, Tripp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tripp Context triple: [Linda Tripp, familyName, Tripp]
-
A.
Trixter
Trixter is an American hard rock band best known for their early 1990s glam metal hits and MTV presence.
-
B.
Travis
Travis is the surname of William B. Travis, the 19th-century American lawyer and soldier best known as a commander at the Battle of the Alamo.
-
C.
Travis
Travis is a central character in the psychological horror film "It Comes at Night," a teenage boy whose fear, curiosity, and vulnerability drive much of the movie’s tension and emotional impact.
-
D.
Travis
Travis is a Scottish rock band known for their melodic, introspective songs that helped shape the late-1990s and early-2000s Britpop and post-Britpop sound.
-
E.
Travis
Travis is a masculine given name of English origin commonly used in the United States and other English-speaking countries.
- 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: Tripp Triple: [Linda Tripp, familyName, Tripp]
Generated description
Tripp is a surname most notably associated with Linda Tripp, a key figure in the Clinton–Lewinsky scandal of the late 1990s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tripp Target entity description: Tripp is a surname most notably associated with Linda Tripp, a key figure in the Clinton–Lewinsky scandal of the late 1990s.
-
A.
Trixter
Trixter is an American hard rock band best known for their early 1990s glam metal hits and MTV presence.
-
B.
Travis
Travis is the surname of William B. Travis, the 19th-century American lawyer and soldier best known as a commander at the Battle of the Alamo.
-
C.
Travis
Travis is a central character in the psychological horror film "It Comes at Night," a teenage boy whose fear, curiosity, and vulnerability drive much of the movie’s tension and emotional impact.
-
D.
Travis
Travis is a Scottish rock band known for their melodic, introspective songs that helped shape the late-1990s and early-2000s Britpop and post-Britpop sound.
-
E.
Travis
Travis is a masculine given name of English origin commonly used in the United States and other English-speaking countries.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d960c8671881909a102d28b0e7f603 |
completed | April 10, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ed6f79881908872c644a9789f04 |
completed | May 2, 2026, 8:30 p.m. |
| NEDg | Description generation | batch_69f660294004819089714099a08085f6 |
completed | May 2, 2026, 8:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6613e31fc8190bdb98f91c9e6c967 |
completed | May 2, 2026, 8:40 p.m. |
Created at: April 9, 2026, 5:14 p.m.