Triple
T21474482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ashley Crow |
E529819
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Open House |
—
|
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: Open House | Statement: [Ashley Crow, appearedIn, Open House]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Open House Context triple: [Ashley Crow, appearedIn, Open House]
-
A.
Open House
"Open House" is a humorous short story by P. G. Wodehouse featuring in his Mr Mulliner series of comic tales.
-
B.
OpenDoor
OpenDoor is a real estate technology company that pioneered the iBuyer model, using data-driven algorithms to make instant cash offers on homes and streamline the buying and selling process.
-
C.
“Open House”
chosen
“Open House” is an episode of the horror television series American Horror Story: Murder House, featuring the character Hayden McClaine.
-
D.
The Open House
The Open House is a film notable enough to feature the editing work of acclaimed American film editor Christopher Tellefsen.
-
E.
Doors Open
"Doors Open" is a crime thriller novel by Scottish author Ian Rankin, centered on an art heist carried out during an open day at a Scottish art warehouse.
- 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_69e0c459acb481909bb6ee452a0045c7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea1650788190bd55ebdbf1dfc46f |
completed | April 23, 2026, 9:44 a.m. |
Created at: April 16, 2026, 6:19 p.m.