Triple
T16816787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waymond Wang |
E408771
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
movie-star universe Waymond
Movie-star universe Waymond is an alternate, glamorous version of Waymond Wang who lives a life of fame and sophistication in contrast to his more ordinary counterpart.
|
E1235491
|
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: movie-star universe Waymond | Statement: [Waymond Wang, hasVariant, movie-star universe Waymond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: movie-star universe Waymond Context triple: [Waymond Wang, hasVariant, movie-star universe Waymond]
-
A.
Michael Williams
Michael Williams was an English actor best known for his work in television, film, and theatre, and for his long marriage to Dame Judi Dench.
-
B.
Theron
Theron is a surname of Greek origin that has been borne by various notable individuals, including actors, athletes, and public figures.
-
C.
Theron Warth
Theron Warth was a film editor known for his work on mid-20th-century American cinema.
-
D.
Duron
Duron is a budget line of x86-compatible microprocessors developed by AMD as a cost-effective alternative to its Athlon series.
-
E.
Tudyk
Tudyk is the surname of Alan Tudyk, an American actor known for his roles in films like "Rogue One" and the series "Firefly."
- 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: movie-star universe Waymond Triple: [Waymond Wang, hasVariant, movie-star universe Waymond]
Generated description
Movie-star universe Waymond is an alternate, glamorous version of Waymond Wang who lives a life of fame and sophistication in contrast to his more ordinary counterpart.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: movie-star universe Waymond Target entity description: Movie-star universe Waymond is an alternate, glamorous version of Waymond Wang who lives a life of fame and sophistication in contrast to his more ordinary counterpart.
-
A.
Michael Williams
Michael Williams was an English actor best known for his work in television, film, and theatre, and for his long marriage to Dame Judi Dench.
-
B.
Theron
Theron is a surname of Greek origin that has been borne by various notable individuals, including actors, athletes, and public figures.
-
C.
Theron Warth
Theron Warth was a film editor known for his work on mid-20th-century American cinema.
-
D.
Duron
Duron is a budget line of x86-compatible microprocessors developed by AMD as a cost-effective alternative to its Athlon series.
-
E.
Tudyk
Tudyk is the surname of Alan Tudyk, an American actor known for his roles in films like "Rogue One" and the series "Firefly."
- 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b2e1de908190aa3508770fb865cf |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b297778c81909a2545c359739151 |
completed | May 10, 2026, 4:30 p.m. |
| NEDg | Description generation | batch_6a00b4caae5081909017095977093704 |
completed | May 10, 2026, 4:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00b52f58e08190a28506f03fbeda15 |
completed | May 10, 2026, 4:41 p.m. |
Created at: April 10, 2026, 5:23 a.m.