Triple
T16428686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | D.K. Metcalf |
E399013
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
DeKaylin
DeKaylin is the given first name of D.K. Metcalf, an American football wide receiver in the NFL.
|
E1213337
|
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: DeKaylin | Statement: [D.K. Metcalf, givenName, DeKaylin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DeKaylin Context triple: [D.K. Metcalf, givenName, DeKaylin]
-
A.
Kailyn
Kailyn is a feminine given name, often considered a modern variant or stylistic spelling related to names like Kylie and Kaylin.
-
B.
Kiley
Kiley is a given name used for people of any gender, often considered a variant spelling of names like Kylie or Kylee.
-
C.
Kaylon
Kaylon are a highly advanced artificial machine species from the Orville universe, known for their collective intelligence and often adversarial stance toward biological life.
-
D.
Kayely
Kayely is an alternate name for the Kayeli language, an Austronesian language historically spoken on Buru Island in Indonesia.
-
E.
Kayla
Kayla is a central character in the tech-comedy web series "Hacks," known for her over-the-top personality and chaotic presence in the workplace.
- 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: DeKaylin Triple: [D.K. Metcalf, givenName, DeKaylin]
Generated description
DeKaylin is the given first name of D.K. Metcalf, an American football wide receiver in the NFL.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DeKaylin Target entity description: DeKaylin is the given first name of D.K. Metcalf, an American football wide receiver in the NFL.
-
A.
Kailyn
Kailyn is a feminine given name, often considered a modern variant or stylistic spelling related to names like Kylie and Kaylin.
-
B.
Kiley
Kiley is a given name used for people of any gender, often considered a variant spelling of names like Kylie or Kylee.
-
C.
Kaylon
Kaylon are a highly advanced artificial machine species from the Orville universe, known for their collective intelligence and often adversarial stance toward biological life.
-
D.
Kayely
Kayely is an alternate name for the Kayeli language, an Austronesian language historically spoken on Buru Island in Indonesia.
-
E.
Kayla
Kayla is a central character in the tech-comedy web series "Hacks," known for her over-the-top personality and chaotic presence in the workplace.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e328fd49708190abb5065fa430eff1 |
completed | April 18, 2026, 6:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00458331748190a4bd1c5d2d466e6d |
completed | May 10, 2026, 8:44 a.m. |
| NEDg | Description generation | batch_6a0046ce23948190a2207e5e27493dac |
completed | May 10, 2026, 8:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a004767d1c88190814e83f09383e874 |
completed | May 10, 2026, 8:52 a.m. |
Created at: April 10, 2026, 5:09 a.m.