Triple
T11572016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Justin Haythe |
E274410
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Clearing |
E255992
|
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 Clearing | Statement: [Justin Haythe, notableWork, The Clearing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Clearing Context triple: [Justin Haythe, notableWork, The Clearing]
-
A.
The Clearing
chosen
The Clearing is a psychological thriller film featuring Miranda Otto in a prominent role.
-
B.
The Silence of the Hills
The Silence of the Hills is a landscape painting by American artist William Wendt, celebrated for its serene, idealized depiction of the California countryside.
-
C.
The Woods
The Woods is a film scored by composer John Frizzell, known for its atmospheric and suspenseful musical style.
-
D.
The Woods
The Woods is a residential neighborhood within the planned community of Burke Centre in Fairfax County, Virginia.
-
E.
The Weeping Meadow
The Weeping Meadow is a 2004 historical drama film by Greek director Theo Angelopoulos, depicting the turbulent lives of Greek refugees across the first half of the 20th century with his signature poetic, visually meditative style.
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88dd6913881908becf188c0a7a275 |
completed | April 10, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6e8eface48190a2ed3275191b01ea |
completed | April 21, 2026, 3:03 a.m. |
Created at: April 8, 2026, 9:38 p.m.