Triple
T10846516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Domee Shi |
E256022
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object | Bao |
E889663
|
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: Bao | Statement: [Domee Shi, directed, Bao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bao Context triple: [Domee Shi, directed, Bao]
-
A.
Bao
chosen
Bao is a Pixar animated short film written and directed by Domee Shi that explores themes of motherhood, emptiness, and cultural identity through a fantastical story about a Chinese-Canadian woman and a dumpling that comes to life.
-
B.
Bang Bao
Bang Bao is a small fishing village and pier area on Ko Chang in Thailand, known for its stilt houses, seafood restaurants, and boat tours to nearby islands.
-
C.
Beibei
Beibei is one of the five Fuwa mascots of the 2008 Beijing Summer Olympics, symbolizing prosperity and representing the element of water.
-
D.
Bum-chu
Bum-chu is the Tibetan name for the Arun River, a major transboundary river flowing from Tibet through Nepal toward the Ganges basin.
-
E.
Baol
Baol was a precolonial Wolof kingdom in what is now Senegal, known for succeeding the Wolof Empire as a regional political and economic power.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d750d132e081909c977b3dc4110ca4 |
completed | April 9, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff7cc0d648190afb0ce80bac7f3dc |
completed | April 15, 2026, 8:40 p.m. |
Created at: April 8, 2026, 9:20 p.m.