Triple
T15367681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dax Randall Shepard |
E367459
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Dax
Dax is an American actor, comedian, writer, director, and podcast host known for roles in films like "Without a Paddle" and for hosting the podcast "Armchair Expert."
|
E1153114
|
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: Dax | Statement: [Dax Randall Shepard, givenName, Dax]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dax Context triple: [Dax Randall Shepard, givenName, Dax]
-
A.
Dax
Dax is a commune in southwestern France known for its thermal spas and historic Roman heritage.
-
B.
Darel
Darel is a given name, typically a variant spelling of Daryl, used for both males and females.
-
C.
Trandal
Trandal is a small, scenic village in western Norway, known for its dramatic fjord landscape and location along the Hjørundfjord.
-
D.
Dakku
Dakku was one of the wives of famed Sherpa mountaineer Tenzing Norgay, who helped support his family life during his historic climbing career.
-
E.
Arkel
Arkel is the elderly, blind King of Allemonde in Claude Debussy’s opera "Pelléas et Mélisande," embodying wisdom and tragic resignation amid the drama’s unfolding passions.
- 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: Dax Triple: [Dax Randall Shepard, givenName, Dax]
Generated description
Dax is an American actor, comedian, writer, director, and podcast host known for roles in films like "Without a Paddle" and for hosting the podcast "Armchair Expert."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dax Target entity description: Dax is an American actor, comedian, writer, director, and podcast host known for roles in films like "Without a Paddle" and for hosting the podcast "Armchair Expert."
-
A.
Dax
Dax is a commune in southwestern France known for its thermal spas and historic Roman heritage.
-
B.
Darel
Darel is a given name, typically a variant spelling of Daryl, used for both males and females.
-
C.
Trandal
Trandal is a small, scenic village in western Norway, known for its dramatic fjord landscape and location along the Hjørundfjord.
-
D.
Dakku
Dakku was one of the wives of famed Sherpa mountaineer Tenzing Norgay, who helped support his family life during his historic climbing career.
-
E.
Arkel
Arkel is the elderly, blind King of Allemonde in Claude Debussy’s opera "Pelléas et Mélisande," embodying wisdom and tragic resignation amid the drama’s unfolding passions.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e4a7cdc8190b7b48c97e774c306 |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b4e968c8190a16824ee3ede13b2 |
completed | May 9, 2026, 10:24 a.m. |
| NEDg | Description generation | batch_69ff0dc93af88190ae34fa3983aac820 |
completed | May 9, 2026, 10:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff0e467a148190871cb8a2dc660e06 |
completed | May 9, 2026, 10:36 a.m. |
Created at: April 10, 2026, 3:18 a.m.