Triple
T14955180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fussy Eater |
E372905
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Fussy Eater |
E372905
|
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: Fussy Eater | Statement: [Fussy Eater, hasTitle, Fussy Eater]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fussy Eater Context triple: [Fussy Eater, hasTitle, Fussy Eater]
-
A.
Fussy Eater
chosen
"Fussy Eater" is a comedy track by American comedian George Carlin from his album *Playin' with Your Head*.
-
B.
Chubby
Chubby is a distributed lock service and coarse-grained coordination system developed by Google to provide reliable synchronization and metadata storage for large-scale distributed applications.
-
C.
Chubby
Chubby is a rotund, comedic child character from the classic "Our Gang" (also known as "The Little Rascals") film series.
-
D.
Wimpy
Wimpy is a gluttonous, hamburger-loving character from the Popeye franchise, known for his polite demeanor and humorous attempts to get others to buy him food.
-
E.
Tummy Trouble
Tummy Trouble is a 1989 animated short film featuring Roger Rabbit in a chaotic hospital-themed slapstick adventure.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6cb336c8190b8a55106fa8fc500 |
completed | April 15, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e9c71cc8190aff9165a6f97981a |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 2:40 a.m.