Triple
T10833724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeff Danna |
E255691
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Storks |
E571263
|
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: Storks | Statement: [Jeff Danna, notableWork, Storks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Storks Context triple: [Jeff Danna, notableWork, Storks]
-
A.
Storks
chosen
Storks is an animated comedy film that humorously reimagines the traditional baby-delivering birds as modern package couriers whose routine is disrupted by the arrival of an unexpected infant.
-
B.
Stork
The stork is a large, long-legged wading bird known for its migratory behavior and cultural associations with delivering babies in European folklore.
-
C.
Sterns
Sterns is the maiden surname of Colleen Sterns Reagan, used before her marriage.
-
D.
Seagull
"Seagull" is a track from Bill Callahan’s 2013 album *Dream River*, known for its atmospheric, introspective folk sound and poetic lyricism.
-
E.
Pidgeon
Pidgeon is a surname most notably associated with Canadian-American actor Walter Pidgeon, a prominent film star of Hollywood’s classic era.
- 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_69d7442439dc8190af59f9c8d0637c01 |
completed | April 9, 2026, 6:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de85aa5ea88190ab6399e46eba5c49 |
completed | April 14, 2026, 6:21 p.m. |
Created at: April 8, 2026, 9:19 p.m.