Triple
T5018831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taylor Schilling |
E112799
|
entity |
| Predicate | hasWorkedOn |
P922
|
FINISHED |
| Object |
Stay
"Stay" is a film featuring actress Taylor Schilling, known for her role in the series "Orange Is the New Black."
|
E77008
|
NE FINISHED |
How this triple was built (4 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: Stay | Statement: [Taylor Schilling, hasWorkedOn, Stay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stay Context triple: [Taylor Schilling, hasWorkedOn, Stay]
-
A.
Stay
"Stay" is a melancholic, guitar-driven track by Post Malone that blends emo and pop influences to explore themes of heartbreak and emotional vulnerability.
-
B.
Stay
"Stay" is a country ballad popularized by the American duo Florida Georgia Line, known for its emotional lyrics about regret and lost love.
-
C.
Stay
"Stay" is a 2021 hit pop song by The Kid LAROI and Justin Bieber, known for its catchy melody, emotional lyrics, and massive global chart success.
-
D.
Stay
"Stay" is a lesser-known musical composition associated with the renowned American composer Richard Rodgers, celebrated for his influential contributions to 20th-century musical theatre.
-
E.
Stay
"Stay" is a psychological thriller film known for its surreal narrative and reality-bending visuals, written by screenwriter David Benioff.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Stay Triple: [Taylor Schilling, hasWorkedOn, Stay]
Generated description
"Stay" is a film featuring actress Taylor Schilling, known for her role in the series "Orange Is the New Black."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stay Target entity description: "Stay" is a film featuring actress Taylor Schilling, known for her role in the series "Orange Is the New Black."
-
A.
Stay
chosen
"Stay" is a psychological thriller film known for its surreal narrative and reality-bending visuals, written by screenwriter David Benioff.
-
B.
Stay
"Stay" is an R&B song by American singer Tyrese Gibson, recognized as one of his notable singles.
-
C.
Stay
"Stay" is a common title used for various creative works, most notably songs and films, typically centered around themes of longing, commitment, or the desire for someone not to leave.
-
D.
Stay
"Stay" is a song by British singer-songwriter Rufus Wainwright, known for its emotive lyrics and melodic, piano-driven style.
-
E.
Stay
"Stay" is a 2021 hit pop song by The Kid LAROI and Justin Bieber, known for its catchy melody, emotional lyrics, and massive global chart success.
- F. None of above.
Provenance (5 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_69bd4435c2f48190be593158cbfcf8a3 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73415e088190802f9bb283262386 |
completed | March 20, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be927bdfa481908a5face7b4fd7058 |
completed | March 21, 2026, 12:43 p.m. |
| NEDg | Description generation | batch_69be93e00fc08190a0706dd7375020f5 |
completed | March 21, 2026, 12:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be94a7e15481908f17feafb593b97b |
completed | March 21, 2026, 12:52 p.m. |
Created at: March 20, 2026, 1:35 p.m.