Triple
T8628558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noomi Rapace |
E204339
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Close
Close is a 2019 action-thriller film starring Noomi Rapace as a professional bodyguard protecting a young heiress from violent attackers.
|
E746364
|
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: Close | Statement: [Noomi Rapace, notableWork, Close]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Close Context triple: [Noomi Rapace, notableWork, Close]
-
A.
Close
Close is a musical adaptation of Bernard Slade’s play “Same Time, Next Year,” featuring a score by Charles Strouse and lyrics by Alan Jay Lerner.
-
B.
Close
Close is the surname of acclaimed American actress Glenn Close, known for her versatile performances in film, television, and theater.
-
C.
This Close
This Close is a groundbreaking dramedy television series created by and starring deaf writers/actors, exploring the lives and relationships of two deaf best friends in Los Angeles.
-
D.
Close Case
Close Case is a legal thriller novel by Alafair Burke featuring prosecutor Samantha Kincaid as she investigates a politically charged shooting and uncovers deep-rooted corruption.
-
E.
Close Edge
"Close Edge" is a track by rapper and actor Mos Def from his genre-blending 2004 album *The New Danger*.
- 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: Close Triple: [Noomi Rapace, notableWork, Close]
Generated description
Close is a 2019 action-thriller film starring Noomi Rapace as a professional bodyguard protecting a young heiress from violent attackers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Close Target entity description: Close is a 2019 action-thriller film starring Noomi Rapace as a professional bodyguard protecting a young heiress from violent attackers.
-
A.
Close
Close is the surname of acclaimed American actress Glenn Close, known for her versatile performances in film, television, and theater.
-
B.
Close
Close is a musical adaptation of Bernard Slade’s play “Same Time, Next Year,” featuring a score by Charles Strouse and lyrics by Alan Jay Lerner.
-
C.
This Close
This Close is a groundbreaking dramedy television series created by and starring deaf writers/actors, exploring the lives and relationships of two deaf best friends in Los Angeles.
-
D.
Close Case
Close Case is a legal thriller novel by Alafair Burke featuring prosecutor Samantha Kincaid as she investigates a politically charged shooting and uncovers deep-rooted corruption.
-
E.
Close Edge
"Close Edge" is a track by rapper and actor Mos Def from his genre-blending 2004 album *The New Danger*.
- F. None of above. chosen
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_69ca834a4ea0819094970dceb9e389f3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc473f6b888190ae40d65f24122c88 |
completed | March 31, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebc02b4008190a70ca8eb6f43926d |
completed | April 2, 2026, 6:57 p.m. |
| NEDg | Description generation | batch_69cebd03f6dc8190810dd78c8048029e |
completed | April 2, 2026, 7:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cebdac5c7c8190a729f6963bb8a2bf |
completed | April 2, 2026, 7:04 p.m. |
Created at: March 30, 2026, 6:27 p.m.