Triple
T14503505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jake T. Austin |
E340203
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Hotel for Dogs |
E1022363
|
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: Hotel for Dogs | Statement: [Jake T. Austin, appearedIn, Hotel for Dogs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hotel for Dogs Context triple: [Jake T. Austin, appearedIn, Hotel for Dogs]
-
A.
Hotel for Dogs
chosen
Hotel for Dogs is a 2009 family comedy film about siblings who secretly transform an abandoned hotel into a shelter for stray dogs.
-
B.
A Night at the Dogs
A Night at the Dogs is a stage play by British dramatist Matt Charman, known for its sharp, contemporary storytelling and character-driven drama.
-
C.
The Dog Pound
The Dog Pound is the passionate student cheering section known for creating an energetic home-ice atmosphere at Boston University Terriers men's hockey games.
-
D.
El cumpleaños del perro
El cumpleaños del perro is a Mexican film best known for featuring acclaimed actress Ana Ofelia Murguía in a prominent role.
-
E.
The Dog in Me
The Dog in Me is a song featured on the album "Beware of Dog" by rapper Lil' Bow Wow.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de94e0f9048190a2d266cfa4f9dfb6 |
completed | April 14, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8aac9e4081908bb361c0bff211c1 |
completed | May 8, 2026, 7:03 a.m. |
Created at: April 10, 2026, 1:21 a.m.