Triple
T16146769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taylor Momsen |
E391803
|
entity |
| Predicate | notableRole |
P22
|
FINISHED |
| Object | Cindy Lou Who |
E391805
|
NE FINISHED |
How this triple was built (2 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: Cindy Lou Who | Statement: [Taylor Momsen, notableRole, Cindy Lou Who]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cindy Lou Who Context triple: [Taylor Momsen, notableRole, Cindy Lou Who]
-
A.
Cindy Lou Who
chosen
Cindy Lou Who is the kind-hearted little girl from Dr. Seuss's "How the Grinch Stole Christmas!" whose innocence and compassion help transform the Grinch.
-
B.
Dorothy Vallens
Dorothy Vallens is a troubled nightclub singer at the center of the dark, surreal mystery in David Lynch's film "Blue Velvet."
-
C.
Minnie Fay
Minnie Fay is a young, naive shop assistant and comic supporting character in Thornton Wilder’s play "The Matchmaker," later popularized in the musical "Hello, Dolly!".
-
D.
Winnie Cooper
Winnie Cooper is a central coming-of-age character in the nostalgic TV series "The Wonder Years," known as Kevin Arnold’s childhood friend and love interest.
-
E.
Minnie
Minnie is the nickname of Aminda "Minnie" Badeau, likely used as her familiar or preferred given name.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21d947e68819081b4b7c757ce71b6 |
completed | April 17, 2026, 11:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0007833960819088334e10258a9d72 |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 5:01 a.m.