Triple
T7421861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Webby Award |
E171268
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object |
Tiffany Shlain
Tiffany Shlain is an American filmmaker, author, and internet pioneer best known for founding the Webby Awards and exploring the impact of technology on culture and society.
|
E664332
|
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: Tiffany Shlain | Statement: [Webby Award, founder, Tiffany Shlain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tiffany Shlain Context triple: [Webby Award, founder, Tiffany Shlain]
-
A.
Kimberly Shlain
Kimberly Shlain is the wife of American actor, comedian, and filmmaker Albert Brooks.
-
B.
Jen Lewin
Jen Lewin is an American interactive light and sculpture artist known for large-scale, technology-driven public art installations.
-
C.
Tina Cohen-Chang
Tina Cohen-Chang is a shy yet talented singer and member of the New Directions glee club in the television series "Glee."
-
D.
Debra Jennifer Stern
Debra Jennifer Stern is one of the daughters of American radio and television personality Howard Stern.
-
E.
Jane Kurson
Jane Kurson is a film editor best known for her work on the 1988 fantasy-comedy film "Beetlejuice."
- 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: Tiffany Shlain Triple: [Webby Award, founder, Tiffany Shlain]
Generated description
Tiffany Shlain is an American filmmaker, author, and internet pioneer best known for founding the Webby Awards and exploring the impact of technology on culture and society.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tiffany Shlain Target entity description: Tiffany Shlain is an American filmmaker, author, and internet pioneer best known for founding the Webby Awards and exploring the impact of technology on culture and society.
-
A.
Kimberly Shlain
Kimberly Shlain is the wife of American actor, comedian, and filmmaker Albert Brooks.
-
B.
Jen Lewin
Jen Lewin is an American interactive light and sculpture artist known for large-scale, technology-driven public art installations.
-
C.
Tina Cohen-Chang
Tina Cohen-Chang is a shy yet talented singer and member of the New Directions glee club in the television series "Glee."
-
D.
Debra Jennifer Stern
Debra Jennifer Stern is one of the daughters of American radio and television personality Howard Stern.
-
E.
Jane Kurson
Jane Kurson is a film editor best known for her work on the 1988 fantasy-comedy film "Beetlejuice."
- 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_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2ed29ec8190804564185fe20797 |
completed | March 27, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81effc488819086336eea92604fa8 |
completed | March 28, 2026, 6:33 p.m. |
| NEDg | Description generation | batch_69c81fe025d081909f2a5c4515c60f64 |
completed | March 28, 2026, 6:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c824010104819081977e89d79ebb44 |
completed | March 28, 2026, 6:54 p.m. |
Created at: March 27, 2026, 3:11 p.m.