Triple
T9565823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dorothy "Tootie" Ramsey |
E230786
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Tootie |
E561253
|
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: Tootie | Statement: [Dorothy "Tootie" Ramsey, nickname, Tootie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tootie Context triple: [Dorothy "Tootie" Ramsey, nickname, Tootie]
-
A.
Tootie
chosen
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."
-
B.
Tootie
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.
-
C.
Tiffy
Tiffy is a common nickname or diminutive form of the given name Tiffany.
-
D.
Trixie
Trixie is Speed Racer’s loyal and daring girlfriend and helicopter pilot in the 2008 live-action film adaptation of the classic racing anime.
-
E.
Trixie Delight
Trixie Delight is a glamorous, manipulative carnival performer who becomes a disruptive presence in the lives of a con man and a young girl in the 1973 film "Paper Moon."
- 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_69ca847f22188190a56e4a97625bef22 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd996c0a1081908a8356c454e60f74 |
completed | April 1, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d152abb0788190ab2e204d9a082ccf |
completed | April 4, 2026, 6:04 p.m. |
Created at: March 30, 2026, 8:04 p.m.