Triple
T9268440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Middleditch |
E222759
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Fun Size |
E488401
|
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: Fun Size | Statement: [Thomas Middleditch, appearedIn, Fun Size]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fun Size Context triple: [Thomas Middleditch, appearedIn, Fun Size]
-
A.
Fun Size
chosen
Fun Size is a 2012 teen comedy film produced by Nickelodeon Movies that follows a Halloween night gone wrong when a high school girl loses track of her little brother.
-
B.
Life-Size
Life-Size is a 2000 fantasy-comedy television film in which a young girl accidentally brings her fashion doll to life, starring Tyra Banks as the doll and Lindsay Lohan as the girl.
-
C.
Tiny
Tiny was the ironic nickname of Bernard Freyberg, a highly decorated British-New Zealand military commander and World War II general.
-
D.
Tiny
Tiny is the giant blue ox companion of the legendary lumberjack Paul Bunyan in American folklore.
-
E.
Mini
Mini is a young Bengali girl in Rabindranath Tagore’s short story "Kabuliwala," whose innocent friendship with an Afghan fruit seller forms the emotional core of the narrative.
- 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_69ca841f2e808190a64f4c31903a1332 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd074d2d0081909f9f8db04547358e |
completed | April 1, 2026, 11:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d09c2239a08190b954c8c57ced8fd2 |
completed | April 4, 2026, 5:05 a.m. |
Created at: March 30, 2026, 7:33 p.m.