Triple
T14955621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Koechner |
E372916
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Waiting...
"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.
|
E1128104
|
NE FINISHED |
How this triple was built (4 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: [David Koechner, notableWork, Waiting...]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waiting... Context triple: [David Koechner, notableWork, Waiting...]
-
A.
Waiting
"Waiting" is a critically acclaimed novel by Chinese-American author Ha Jin that explores love, duty, and personal freedom in post-revolutionary China.
-
B.
Waiting
"Waiting" is a track from the album "Erotica," likely contributing to its sensual and atmospheric musical narrative.
-
C.
Waits
Waits is the surname of American singer-songwriter, composer, and actor Tom Waits, known for his distinctive gravelly voice and eclectic, experimental style.
-
D.
Wait
Wait is a given name historically used in English-speaking contexts, notably in early colonial America.
-
E.
Wait
"Wait" is a pop song by American band Maroon 5, released as a single from their 2017 album *Red Pill Blues*.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Waiting... Triple: [David Koechner, notableWork, Waiting...]
Generated description
"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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Waiting... Target entity description: "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.
-
A.
Waiting
"Waiting" is a critically acclaimed novel by Chinese-American author Ha Jin that explores love, duty, and personal freedom in post-revolutionary China.
-
B.
Waiting
"Waiting" is a track from the album "Erotica," likely contributing to its sensual and atmospheric musical narrative.
-
C.
Waits
Waits is the surname of American singer-songwriter, composer, and actor Tom Waits, known for his distinctive gravelly voice and eclectic, experimental style.
-
D.
Wait
Wait is a given name historically used in English-speaking contexts, notably in early colonial America.
-
E.
Wait
"Wait" is a pop song by American band Maroon 5, released as a single from their 2017 album *Red Pill Blues*.
- F. None of above. chosen
Provenance (5 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_69ded6cc73848190ac181782b20dc838 |
completed | April 15, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e9c71cc8190aff9165a6f97981a |
completed | May 9, 2026, 12:23 a.m. |
| NEDg | Description generation | batch_69fe814659fc8190b1ddc30187d344e4 |
completed | May 9, 2026, 12:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe81a932b48190a483815d2350c3a4 |
completed | May 9, 2026, 12:36 a.m. |
Created at: April 10, 2026, 2:40 a.m.