Triple
T15403855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alanna Ubach |
E368396
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Waiting... |
E1128104
|
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: Waiting... | Statement: [Alanna Ubach, notableWork, Waiting...]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waiting... Context triple: [Alanna Ubach, notableWork, Waiting...]
-
A.
Waiting...
chosen
"Waiting..." is a 2005 comedy film set in a casual dining restaurant, following the crude antics and frustrations of its staff during a single chaotic shift.
-
B.
Waiting
"Waiting" is a critically acclaimed novel by Chinese-American author Ha Jin that explores love, duty, and personal freedom in post-revolutionary China.
-
C.
Waiting
"Waiting" is a track from the album "Erotica," likely contributing to its sensual and atmospheric musical narrative.
-
D.
Waits
Waits is the surname of American singer-songwriter, composer, and actor Tom Waits, known for his distinctive gravelly voice and eclectic, experimental style.
-
E.
Wait
Wait is a given name historically used in English-speaking contexts, notably in early colonial America.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e8fde64819082ec0c68df305561 |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff13584f8881908b2527c51f85ae28 |
completed | May 9, 2026, 10:58 a.m. |
Created at: April 10, 2026, 3:19 a.m.