Triple
T3859808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hairspray |
E90106
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Link Larkin
Link Larkin is a charming teenage heartthrob and singer in the musical "Hairspray," known as the lead male love interest and a popular performer on the Corny Collins Show.
|
E392251
|
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: Link Larkin | Statement: [Hairspray, hasCharacter, Link Larkin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Link Larkin Context triple: [Hairspray, hasCharacter, Link Larkin]
-
A.
Chris Larkin
Chris Larkin is a British actor known for his work in film, television, and theatre, and for being the son of acclaimed actress Maggie Smith.
-
B.
John Linson
John Linson is an American film and television producer best known for creating the series Yellowstone and producing projects like Sons of Anarchy.
-
C.
Lloyd
Lloyd is a masculine given name of Welsh origin meaning "grey" or "grey-haired."
-
D.
Lloyd
Lloyd is the middle name of William Lloyd Garrison, the prominent 19th-century American abolitionist and social reformer.
-
E.
Charlie Lucas
Charlie Lucas is an actor known for his role in the film "Tea with Mussolini."
- 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: Link Larkin Triple: [Hairspray, hasCharacter, Link Larkin]
Generated description
Link Larkin is a charming teenage heartthrob and singer in the musical "Hairspray," known as the lead male love interest and a popular performer on the Corny Collins Show.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Link Larkin Target entity description: Link Larkin is a charming teenage heartthrob and singer in the musical "Hairspray," known as the lead male love interest and a popular performer on the Corny Collins Show.
-
A.
Chris Larkin
Chris Larkin is a British actor known for his work in film, television, and theatre, and for being the son of acclaimed actress Maggie Smith.
-
B.
John Linson
John Linson is an American film and television producer best known for creating the series Yellowstone and producing projects like Sons of Anarchy.
-
C.
Lloyd
Lloyd is a masculine given name of Welsh origin meaning "grey" or "grey-haired."
-
D.
Lloyd
Lloyd is the middle name of William Lloyd Garrison, the prominent 19th-century American abolitionist and social reformer.
-
E.
Charlie Lucas
Charlie Lucas is an actor known for his role in the film "Tea with Mussolini."
- 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_69aed95b3c088190a8f85d19e6070599 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec1ff39c8190b83a88abd840a0e3 |
completed | March 9, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b50424b23c8190b888cfb79e26e758 |
completed | March 14, 2026, 6:45 a.m. |
| NEDg | Description generation | batch_69b504ff7624819089f98794ec97ed8f |
completed | March 14, 2026, 6:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b50594e4888190b2db45eee2a988a7 |
completed | March 14, 2026, 6:52 a.m. |
Created at: March 9, 2026, 3:19 p.m.