Triple
T309147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Lucas |
E6364
|
entity |
| Predicate | produced |
P490
|
FINISHED |
| Object | Willow |
E14248
|
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: Willow | Statement: [George Lucas, produced, Willow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Willow Context triple: [George Lucas, produced, Willow]
-
A.
Willow
chosen
Willow is a 1988 fantasy adventure film directed by Ron Howard that follows an aspiring sorcerer who must protect a prophesied child from an evil queen.
-
B.
Magi
The Magi are the wise men or kings from the East in the New Testament who visit the infant Jesus, traditionally bearing gifts of gold, frankincense, and myrrh.
-
C.
Cocoon
Cocoon is a 1985 science fiction comedy-drama film about a group of elderly people who regain youth and vitality after encountering alien life, directed by Ron Howard.
-
D.
Xanadu
Xanadu is the opulent, mythical pleasure-dome city evoked in Samuel Taylor Coleridge’s poem "Kubla Khan."
-
E.
Into the Woods
Into the Woods is a 2014 musical fantasy film adaptation of the Stephen Sondheim stage musical, intertwining several classic fairy tales in a darkly comedic and emotionally complex narrative.
- 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_69a2e79230508190b912ecb555aae17e |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea33ba688190b30d285cd7aa0d82 |
completed | Feb. 28, 2026, 1:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3b475e91c8190b68b05a8112d35dd |
completed | March 1, 2026, 3:37 a.m. |
Created at: Feb. 28, 2026, 1:06 p.m.