Triple
T23076903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoagland Howard Carmichael |
E575356
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Stardust |
—
|
NE NERFINISHED |
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: Stardust | Statement: [Hoagland Howard Carmichael, notableWork, Stardust]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stardust Context triple: [Hoagland Howard Carmichael, notableWork, Stardust]
-
A.
Stardust
"Stardust" is a classic popular song, widely regarded as a jazz and American Songbook standard, famously interpreted by Louis Armstrong and many other artists.
-
B.
Stardust
Stardust is a British political organization and campaign group focused on advocating for progressive, pro-European Union policies.
-
C.
Stardust
Stardust is a fantasy novel by Neil Gaiman that blends fairy-tale romance and adventure in a magical realm bordering Victorian England.
-
D.
Stardust
"Stardust" is a notable work created by Michael Hyman Pashelinsky, recognized as a significant contribution to his artistic output.
-
E.
Stardust
chosen
"Stardust" is the musical score composed by Ilan Eshkeri for the 2007 fantasy adventure film of the same name, noted for its sweeping orchestral themes and whimsical tone.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245be28d48190ad1348d5a73db37d |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18c63870c81909a08a3b410c0d417 |
completed | April 29, 2026, 4:43 a.m. |
Created at: April 17, 2026, 3:56 p.m.