Triple
T18832686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexandra Holden |
E460573
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Dead End |
—
|
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: Dead End | Statement: [Alexandra Holden, notableWork, Dead End]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dead End Context triple: [Alexandra Holden, notableWork, Dead End]
-
A.
Dead End
"Dead End" is a 1937 American crime drama film, directed by William Wyler and based on Sidney Kingsley's play, that helped popularize the Dead End Kids and featured Marjorie Main in a notable role.
-
B.
Dead End
chosen
Dead End is a 2003 horror film known for its darkly comic, psychological take on a family’s terrifying road trip gone wrong.
-
C.
Dead End
"Dead End" is a song featured on the 1969 psychedelic rock and soul-influenced soundtrack album *Walking in Space* by Quincy Jones.
-
D.
Dead End
Dead End is a desolate, hazardous region on the Transformers’ homeworld of Cybertron, often depicted as a rundown, crime-ridden district inhabited by outcasts and scavengers.
-
E.
Bad End
"Bad End" is a song featured on the album "Coincidence and Likely Stories" by singer-songwriter Buffy Sainte-Marie.
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a99a792c81908b9a0741ef6ee782 |
completed | April 20, 2026, 4:20 a.m. |
Created at: April 10, 2026, 11:56 a.m.