Triple
T510822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ron Perlman |
E10602
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Brandon Perlman
Brandon Perlman is the son of American actor Ron Perlman and works as a music producer and DJ.
|
E162174
|
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: Brandon Perlman | Statement: [Ron Perlman, hasChild, Brandon Perlman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brandon Perlman Context triple: [Ron Perlman, hasChild, Brandon Perlman]
-
A.
Kevin Yagher
Kevin Yagher is an American special effects and makeup artist and director best known for his work on horror and fantasy films and for creating iconic genre characters.
-
B.
Toby Pohlen
Toby Pohlen is a member of the team at xAI, the artificial intelligence company founded by Elon Musk.
-
C.
Brian VanDeMark
Brian VanDeMark is an American historian and author known for his work on U.S. foreign policy and the Vietnam War, including coauthoring influential studies of that conflict.
-
D.
Kyle Rote
Kyle Rote was a former New York Giants star running back and wide receiver who became a prominent American sportscaster and television commentator.
-
E.
Chris Malachowsky
Chris Malachowsky is an American engineer and entrepreneur best known as a co-founder of NVIDIA, a leading technology company in graphics processing and AI computing.
- 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: Brandon Perlman Triple: [Ron Perlman, hasChild, Brandon Perlman]
Generated description
Brandon Perlman is the son of American actor Ron Perlman and works as a music producer and DJ.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brandon Perlman Target entity description: Brandon Perlman is the son of American actor Ron Perlman and works as a music producer and DJ.
-
A.
Kevin Yagher
Kevin Yagher is an American special effects and makeup artist and director best known for his work on horror and fantasy films and for creating iconic genre characters.
-
B.
Toby Pohlen
Toby Pohlen is a member of the team at xAI, the artificial intelligence company founded by Elon Musk.
-
C.
Brian VanDeMark
Brian VanDeMark is an American historian and author known for his work on U.S. foreign policy and the Vietnam War, including coauthoring influential studies of that conflict.
-
D.
Kyle Rote
Kyle Rote was a former New York Giants star running back and wide receiver who became a prominent American sportscaster and television commentator.
-
E.
Chris Malachowsky
Chris Malachowsky is an American engineer and entrepreneur best known as a co-founder of NVIDIA, a leading technology company in graphics processing and AI computing.
- 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_69a2e84a0d08819087e01863fcd9abf1 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f165b91c81908c2d2ba15c64b956 |
completed | Feb. 28, 2026, 1:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ace52cf51881909ab5dc361d342ce7 |
completed | March 8, 2026, 2:55 a.m. |
| NEDg | Description generation | batch_69ace5bb634c8190889206182da1d2ed |
completed | March 8, 2026, 2:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ace63be9508190b5b0e7c9d7af57f0 |
completed | March 8, 2026, 3 a.m. |
Created at: Feb. 28, 2026, 1:12 p.m.