Triple
T20808796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elliott |
E512239
|
entity |
| Predicate | familyMember |
P566
|
FINISHED |
| Object | Gertie |
—
|
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: Gertie | Statement: [Elliott, familyMember, Gertie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gertie Context triple: [Elliott, familyMember, Gertie]
-
A.
Gertie
chosen
Gertie is the young girl, played by Drew Barrymore, who befriends the alien in the classic science fiction film "E.T. the Extra-Terrestrial."
-
B.
Gertie the Dinosaur
Gertie the Dinosaur is a pioneering early animated film character created by Winsor McCay, often celebrated as one of the first examples of personality animation in cinema history.
-
C.
Mopsy
Mopsy is one of Peter Rabbit’s well-behaved sister rabbits in Beatrix Potter’s classic children’s stories.
-
D.
Tum-Tum
Tum-Tum is the youngest, food-loving and comedic brother in the Three Ninjas film series, known for his energetic personality and martial arts skills.
-
E.
Bessie Limpet
Bessie Limpet is the practical, no-nonsense wife of the timid bookkeeper-turned-fish in the 1964 fantasy-comedy film "The Incredible Mr. Limpet."
- 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_69e0b4cd25088190b48ca9700cd24efc |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2d0a2a081908fb0e3d890e87aaf |
completed | April 21, 2026, 12:20 a.m. |
Created at: April 16, 2026, 12:40 p.m.