Triple
T22768017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hardcore |
E563178
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Ilah Davis
Ilah Davis is an actress known for her role in the 1979 crime drama film "Hardcore," directed by Paul Schrader.
|
E1553461
|
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: Ilah Davis | Statement: [Hardcore, starring, Ilah Davis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ilah Davis Context triple: [Hardcore, starring, Ilah Davis]
-
A.
Kisha Davis
Kisha Davis is the central protagonist of the parody horror-comedy film "A Haunted House," around whom the movie’s supernatural misadventures revolve.
-
B.
Tonia Davis
Tonia Davis is a film producer known for her work on the 2023 biographical drama "Rustin."
-
C.
Tonia Davis
Tonia Davis is a film producer known for her work on the thriller "Underwater."
-
D.
Johnell Davis
Johnell Davis is an American college basketball guard best known for starring at Florida Atlantic University, where he helped lead the Owls to national prominence with a deep NCAA Tournament run.
-
E.
Cassi Davis
Cassi Davis is an American actress best known for her comedic roles in Tyler Perry’s films and television series, particularly as Ella Payne in "House of Payne."
- 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: Ilah Davis Triple: [Hardcore, starring, Ilah Davis]
Generated description
Ilah Davis is an actress known for her role in the 1979 crime drama film "Hardcore," directed by Paul Schrader.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ilah Davis Target entity description: Ilah Davis is an actress known for her role in the 1979 crime drama film "Hardcore," directed by Paul Schrader.
-
A.
Kisha Davis
Kisha Davis is the central protagonist of the parody horror-comedy film "A Haunted House," around whom the movie’s supernatural misadventures revolve.
-
B.
Tonia Davis
Tonia Davis is a film producer known for her work on the 2023 biographical drama "Rustin."
-
C.
Tonia Davis
Tonia Davis is a film producer known for her work on the thriller "Underwater."
-
D.
Johnell Davis
Johnell Davis is an American college basketball guard best known for starring at Florida Atlantic University, where he helped lead the Owls to national prominence with a deep NCAA Tournament run.
-
E.
Cassi Davis
Cassi Davis is an American actress best known for her comedic roles in Tyler Perry’s films and television series, particularly as Ella Payne in "House of Payne."
- 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_69e24552e11c81909c2d61578a558bd7 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17a81d3348190b005a43a5e03d406 |
completed | April 29, 2026, 3:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b981f3a1c819083a7d498290af751 |
completed | May 18, 2026, 10:52 p.m. |
| NEDg | Description generation | batch_6a0b98d159688190a5ec037ee8692f33 |
completed | May 18, 2026, 10:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b99b6e7e88190995319351374f97c |
completed | May 18, 2026, 10:59 p.m. |
Created at: April 17, 2026, 3:27 p.m.