Triple
T5356558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Hill |
E102705
|
entity |
| Predicate | notableWork |
P4
|
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: [Mike Hill, notableWork, Willow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Willow Context triple: [Mike Hill, notableWork, 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.
Willow
"Willow" is a folk-pop song by American singer-songwriter Taylor Swift, released as the lead single from her 2020 album "Evermore."
-
C.
Labyrinth
The Labyrinth is a legendary, intricately designed maze in Greek mythology built to confine the Minotaur beneath King Minos’s palace in Crete.
-
D.
Labyrinth
Labyrinth is a 1986 fantasy film directed by Jim Henson, starring David Bowie and Jennifer Connelly, known for its imaginative puppetry, musical numbers, and cult following.
-
E.
Labyrinth
Labyrinth is a remote alpine plateau and maze-like network of tarns, lakes, and rocky ridges in Tasmania’s wilderness, popular with experienced bushwalkers for its dramatic scenery and challenging terrain.
- 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_69bd43d8f7248190b64c140734b5c9a8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd862f0ea48190bec78690ab3bee51 |
completed | March 20, 2026, 5:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf21e2b7b08190aca4c2855ff041de |
completed | March 21, 2026, 10:55 p.m. |
Created at: March 20, 2026, 2:01 p.m.