Triple
T14398328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sliver |
E357006
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Zeke Hawkins
Zeke Hawkins is a central character in the science fiction horror film "Sliver."
|
E1098254
|
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: Zeke Hawkins | Statement: [Sliver, featuresCharacter, Zeke Hawkins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zeke Hawkins Context triple: [Sliver, featuresCharacter, Zeke Hawkins]
-
A.
Zeke Tyler
Zeke Tyler is a rebellious, drug-dealing high school student who becomes an unlikely hero in the sci-fi horror film "The Faculty."
-
B.
Zeke Shaw
Zeke Shaw is a character from the science fiction television series "The 100," known for his intelligence, engineering skills, and role within the spacefaring group of survivors.
-
C.
Zeke Zettner
Zeke Zettner was an American musician best known as a bassist for the influential proto-punk band The Stooges.
-
D.
Zeke
Zeke is a central male character in the romantic comedy film "Think Like a Man," known for navigating modern dating dynamics alongside a group of friends influenced by a relationship advice book.
-
E.
Zeke
Zeke is the character portrayed by actor Irving Lahrheim (better known as Bert Lahr), most famously associated with his role in "The Wizard of Oz."
- 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: Zeke Hawkins Triple: [Sliver, featuresCharacter, Zeke Hawkins]
Generated description
Zeke Hawkins is a central character in the science fiction horror film "Sliver."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zeke Hawkins Target entity description: Zeke Hawkins is a central character in the science fiction horror film "Sliver."
-
A.
Zeke Tyler
Zeke Tyler is a rebellious, drug-dealing high school student who becomes an unlikely hero in the sci-fi horror film "The Faculty."
-
B.
Zeke Shaw
Zeke Shaw is a character from the science fiction television series "The 100," known for his intelligence, engineering skills, and role within the spacefaring group of survivors.
-
C.
Zeke Zettner
Zeke Zettner was an American musician best known as a bassist for the influential proto-punk band The Stooges.
-
D.
Zeke
Zeke is a central male character in the romantic comedy film "Think Like a Man," known for navigating modern dating dynamics alongside a group of friends influenced by a relationship advice book.
-
E.
Zeke
Zeke is the character portrayed by actor Irving Lahrheim (better known as Bert Lahr), most famously associated with his role in "The Wizard of Oz."
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9083f9d081908fe5c99655c410b3 |
completed | April 14, 2026, 7:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd551eb09c8190a102ab452371e5b1 |
completed | May 8, 2026, 3:14 a.m. |
| NEDg | Description generation | batch_69fd5671340081909d87978be2a5522b |
completed | May 8, 2026, 3:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd57a787988190bec179e276fe7014 |
completed | May 8, 2026, 3:25 a.m. |
Created at: April 10, 2026, 1:17 a.m.