Triple
T14759373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Return to Oz |
E346814
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | The Gump |
E557450
|
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: The Gump | Statement: [Return to Oz, featuresCharacter, The Gump]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Gump Context triple: [Return to Oz, featuresCharacter, The Gump]
-
A.
The Quigley
The Quigley is a notorious water obstacle course at the U.S. Marine Corps Officer Candidates School, known for its muddy trenches, submerged passages, and physically demanding conditions.
-
B.
Gump
chosen
Gump is a fantastical, makeshift flying creature from L. Frank Baum’s Oz series, assembled from various objects and brought to life by magic.
-
C.
Gump
Gump is a fictional surname most famously associated with Forrest Gump, the protagonist of the novel and film of the same name.
-
D.
The Ralph
The Ralph is a popular nickname for Highmark Stadium, the home field of the NFL’s Buffalo Bills in Orchard Park, New York.
-
E.
The Old Man and Mr. Smith
The Old Man and Mr. Smith is a satirical novel by Peter Ustinov that follows God and the Devil visiting modern Earth to observe and meddle in human affairs.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7f0f5a48190af008352c26574d7 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cefb7c08190bf69b15165f046d0 |
completed | May 8, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:30 a.m.