Triple
T11221302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josh |
E265571
|
entity |
| Predicate | acquaintanceOf |
P53758
|
FINISHED |
| Object | Dani Ardor |
E48962
|
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: Dani Ardor | Statement: [Josh, acquaintanceOf, Dani Ardor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dani Ardor Context triple: [Josh, acquaintanceOf, Dani Ardor]
-
A.
Dani Ardor
chosen
Dani Ardor is the emotionally traumatized American graduate student who becomes entangled with a sinister Swedish pagan cult in Ari Aster’s 2019 folk horror film "Midsommar."
-
B.
Orin Incandenza
Orin Incandenza is a former football punter and womanizing eldest son of the Incandenza family in David Foster Wallace’s novel "Infinite Jest," whose troubled relationships and fear of commitment reflect the book’s broader themes of addiction and avoidance.
-
C.
Darel
Darel is a given name, typically a variant spelling of Daryl, used for both males and females.
-
D.
Auron
Auron is a river in central France that flows through the Cher department and joins the Yèvre near the city of Bourges.
-
E.
Auron
Auron is a French ski resort village in the southern Alps known for its extensive slopes and proximity to Nice.
- 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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8eb84c48190b4f3bede254afde2 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4977cab4481909c6b94ca07cd5e4a |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 8, 2026, 9:30 p.m.