Triple
T15386204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiefer Sutherland |
E367921
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Kiefer
Kiefer is a masculine given name most famously associated with Canadian actor Kiefer Sutherland.
|
E1154703
|
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: Kiefer | Statement: [Kiefer Sutherland, givenName, Kiefer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kiefer Context triple: [Kiefer Sutherland, givenName, Kiefer]
-
A.
Keefer
Keefer was a distinguished racing greyhound renowned for its achievements on the track, earning induction into the Greyhound Hall of Fame.
-
B.
Tim Kiefer
Tim Kiefer is an American composer best known for creating the distinctive, genre-blending musical score for the animated television series "Adventure Time."
-
C.
Kenig
Kenig is a surname most notably associated with Carlos Kenig, an Argentine-American mathematician renowned for his contributions to partial differential equations and harmonic analysis.
-
D.
Kejork Kalfa
Kejork Kalfa was an Ottoman-era architect known for designing the historic Süreyya Opera House in Istanbul.
-
E.
Reeser
Reeser is a surname most notably associated with American actress Autumn Reeser, known for her roles in television and film.
- 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: Kiefer Triple: [Kiefer Sutherland, givenName, Kiefer]
Generated description
Kiefer is a masculine given name most famously associated with Canadian actor Kiefer Sutherland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kiefer Target entity description: Kiefer is a masculine given name most famously associated with Canadian actor Kiefer Sutherland.
-
A.
Keefer
Keefer was a distinguished racing greyhound renowned for its achievements on the track, earning induction into the Greyhound Hall of Fame.
-
B.
Tim Kiefer
Tim Kiefer is an American composer best known for creating the distinctive, genre-blending musical score for the animated television series "Adventure Time."
-
C.
Kenig
Kenig is a surname most notably associated with Carlos Kenig, an Argentine-American mathematician renowned for his contributions to partial differential equations and harmonic analysis.
-
D.
Kejork Kalfa
Kejork Kalfa was an Ottoman-era architect known for designing the historic Süreyya Opera House in Istanbul.
-
E.
Reeser
Reeser is a surname most notably associated with American actress Autumn Reeser, known for her roles in television and film.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e74ff70819094c1a85f51d6e228 |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff134bf8b4819092d77c44d0207e3b |
completed | May 9, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_69ff141b025c8190ac5ac9400ff36133 |
completed | May 9, 2026, 11:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff1519100c819083ee0342bf25d89e |
completed | May 9, 2026, 11:06 a.m. |
Created at: April 10, 2026, 3:19 a.m.