Triple
T18119376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valley of Elah battle of David and Goliath |
E433692
|
entity |
| Predicate | hasAntagonist |
P18963
|
FINISHED |
| Object | 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: Goliath | Statement: [Valley of Elah battle of David and Goliath, hasAntagonist, Goliath]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goliath Context triple: [Valley of Elah battle of David and Goliath, hasAntagonist, Goliath]
-
A.
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.
-
B.
Goliath
chosen
Goliath is the biblical Philistine giant warrior famously defeated by the young David with a sling and a stone.
-
C.
Goliath
Goliath is a superhero identity in Marvel Comics most associated with scientist and Avenger Hank Pym, characterized by his ability to grow to gigantic size.
-
D.
Goliath
Goliath is the noble and stoic leader of the Manhattan Clan of gargoyles in the animated television series "Gargoyles."
-
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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddd843e88190abbc173dbc9b450a |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:28 a.m.