Triple
T22101385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Proud Valley |
E546178
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | David Goliath |
—
|
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: David Goliath | Statement: [The Proud Valley, mainCharacter, David Goliath]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Goliath Context triple: [The Proud Valley, mainCharacter, David Goliath]
-
A.
David Goliath
chosen
David Goliath is the Welsh coal miner and gifted singer portrayed by Paul Robeson in the 1940 British film "The Proud Valley."
-
B.
Goliath
Goliath is a legal drama television series that follows a down-and-out lawyer seeking redemption by taking on powerful corporate and legal adversaries.
-
C.
Goliath
Goliath is the biblical Philistine giant warrior famously defeated by the young David with a sling and a stone.
-
D.
Goliath
Goliath is a prominent steel roller coaster at La Ronde in Montreal, known for its large drops, high speeds, and airtime-focused layout.
-
E.
Goliath
Goliath is a large French Farman F.60 biplane airliner and bomber from the early 20th century, notable for pioneering commercial passenger flights after World War I.
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1291501508190ad5689be5abb2ba6 |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.