Triple
T20164059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timmy Turner |
E491783
|
entity |
| Predicate | hasLoveInterest |
P7325
|
FINISHED |
| Object | Tootie |
—
|
NE NERFINISHED |
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: Tootie | Statement: [Timmy Turner, hasLoveInterest, Tootie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tootie Context triple: [Timmy Turner, hasLoveInterest, Tootie]
-
A.
Tootie
chosen
Tootie is a nerdy, braces-wearing girl in the animated series "The Fairly OddParents," best known for her obsessive crush on Timmy Turner and her over-the-top, energetic personality.
-
B.
Tootie
Tootie is a fictional character best known as the spirited youngest daughter, Agnes "Tootie" Smith, from the classic 1944 film "Meet Me in St. Louis."
-
C.
Tootles
Tootles is one of the Lost Boys in J.M. Barrie’s Peter Pan stories, often portrayed as a gentle, somewhat unlucky boy known for his remorseful nature.
-
D.
Tiffy
Tiffy is a common nickname or diminutive form of the given name Tiffany.
-
E.
Tillie
Tillie is a character in the 1967 film "Guess Who's Coming to Dinner," serving as the Drayton family's outspoken and protective housekeeper.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6684376408190a68890ab48fa5424 |
completed | April 20, 2026, 5:54 p.m. |
Created at: April 11, 2026, 11:35 p.m.