Triple
T11015172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romo |
E260344
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Tomás Romo
Tomás Romo is a Mexican social media personality and content creator known for his comedic videos and strong presence on platforms like TikTok and Instagram.
|
E902364
|
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: Tomás Romo | Statement: [Romo, hasNotableBearer, Tomás Romo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tomás Romo Context triple: [Romo, hasNotableBearer, Tomás Romo]
-
A.
Santiago Romo
Santiago Romo is a person notable enough to be recognized as a bearer of the surname Romo.
-
B.
Jake Ellzey
Jake Ellzey is a Republican politician and former Navy fighter pilot who serves as the U.S. Representative for Texas's 6th congressional district.
-
C.
T. J. Yates
T. J. Yates is a character in the Stephen King and Owen King novel "Sleeping Beauties," which explores a world where women fall into a mysterious, cocoon-like sleep.
-
D.
Tyson Bowles
Tyson Bowles is one of the children of NFL head coach and former player Todd Bowles.
-
E.
Allen George
Allen George is a writer best known for his work on the film "Fade."
- 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: Tomás Romo Triple: [Romo, hasNotableBearer, Tomás Romo]
Generated description
Tomás Romo is a Mexican social media personality and content creator known for his comedic videos and strong presence on platforms like TikTok and Instagram.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tomás Romo Target entity description: Tomás Romo is a Mexican social media personality and content creator known for his comedic videos and strong presence on platforms like TikTok and Instagram.
-
A.
Santiago Romo
Santiago Romo is a person notable enough to be recognized as a bearer of the surname Romo.
-
B.
Jake Ellzey
Jake Ellzey is a Republican politician and former Navy fighter pilot who serves as the U.S. Representative for Texas's 6th congressional district.
-
C.
T. J. Yates
T. J. Yates is a character in the Stephen King and Owen King novel "Sleeping Beauties," which explores a world where women fall into a mysterious, cocoon-like sleep.
-
D.
Tyson Bowles
Tyson Bowles is one of the children of NFL head coach and former player Todd Bowles.
-
E.
Allen George
Allen George is a writer best known for his work on the film "Fade."
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797a558a08190bdb5779faa9adf05 |
completed | April 9, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3c828b7848190be34a6ba1550d3f1 |
completed | April 18, 2026, 6:06 p.m. |
| NEDg | Description generation | batch_69e3ca36528081908dd0db5063e90b3b |
completed | April 18, 2026, 6:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3cf08cf108190966b4abd0514a6ea |
completed | April 18, 2026, 6:35 p.m. |
Created at: April 8, 2026, 9:25 p.m.