Triple
T22128770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bad Hair Day |
E546855
|
entity |
| Predicate | includesSong |
P7178
|
FINISHED |
| Object | Gump |
—
|
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: Gump | Statement: [Bad Hair Day, includesSong, Gump]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gump Context triple: [Bad Hair Day, includesSong, Gump]
-
A.
Gump
Gump is a fantastical, makeshift flying creature from L. Frank Baum’s Oz series, assembled from various objects and brought to life by magic.
-
B.
Gump
chosen
Gump is a fictional surname most famously associated with Forrest Gump, the protagonist of the novel and film of the same name.
-
C.
Richard Gump
Richard Gump was a founding partner of the international law firm Akin Gump Strauss Hauer & Feld.
-
D.
Lobster Johnson
Lobster Johnson is a pulp-style vigilante superhero from Mike Mignola’s Hellboy universe, known for his fiery claw symbol and battles against gangsters and occult threats in 1930s America.
-
E.
Marv Tarplin
Marv Tarplin was an American guitarist and songwriter best known for crafting the signature guitar riffs and co-writing many of the classic hits of Smokey Robinson & The Miracles.
- 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_69e11e39bf348190b541bfa16a7b71e0 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12983acfc81908013f66acb31f198 |
completed | April 28, 2026, 9:41 p.m. |
Created at: April 16, 2026, 8:32 p.m.