Triple
T13212758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UFC 81 |
E314533
|
entity |
| Predicate | featuredFighter |
P101800
|
FINISHED |
| Object |
Rob Emerson
Rob Emerson is an American mixed martial artist best known for competing in the UFC’s lightweight division and appearing on The Ultimate Fighter reality series.
|
E1026699
|
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: Rob Emerson | Statement: [UFC 81, featuredFighter, Rob Emerson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rob Emerson Context triple: [UFC 81, featuredFighter, Rob Emerson]
-
A.
Eric Emerson
Eric Emerson was an American actor, musician, and Warhol superstar associated with the 1960s New York underground art and film scene.
-
B.
Sam Emerson
Sam Emerson is a teenage protagonist in the 1987 horror-comedy film "The Lost Boys," known for battling a gang of vampires alongside his older brother in the coastal town of Santa Carla.
-
C.
Nick Emerson
Nick Emerson is an editor known for his work on editions of Shakespearean plays, including "Lady Macbeth."
-
D.
Neil Hartley
Neil Hartley is a film and television producer known for his work on the adaptation of "The Go-Between."
-
E.
David Embick
David Embick is an American linguist known for his influential work in theoretical linguistics, particularly in syntax, morphology, and their interfaces.
- 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: Rob Emerson Triple: [UFC 81, featuredFighter, Rob Emerson]
Generated description
Rob Emerson is an American mixed martial artist best known for competing in the UFC’s lightweight division and appearing on The Ultimate Fighter reality series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rob Emerson Target entity description: Rob Emerson is an American mixed martial artist best known for competing in the UFC’s lightweight division and appearing on The Ultimate Fighter reality series.
-
A.
Eric Emerson
Eric Emerson was an American actor, musician, and Warhol superstar associated with the 1960s New York underground art and film scene.
-
B.
Sam Emerson
Sam Emerson is a teenage protagonist in the 1987 horror-comedy film "The Lost Boys," known for battling a gang of vampires alongside his older brother in the coastal town of Santa Carla.
-
C.
Nick Emerson
Nick Emerson is an editor known for his work on editions of Shakespearean plays, including "Lady Macbeth."
-
D.
Neil Hartley
Neil Hartley is a film and television producer known for his work on the adaptation of "The Go-Between."
-
E.
David Embick
David Embick is an American linguist known for his influential work in theoretical linguistics, particularly in syntax, morphology, and their interfaces.
- 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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c9f0f148190a0698ef27573c885 |
completed | April 10, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f6136270819093256a143d2c9e65 |
completed | May 3, 2026, 7:15 a.m. |
| NEDg | Description generation | batch_69f6f72f9dcc8190aa07315891b393aa |
completed | May 3, 2026, 7:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6f812ae048190907b8def6b0d019c |
completed | May 3, 2026, 7:24 a.m. |
Created at: April 9, 2026, 9:17 p.m.