Triple
T22032949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | That '80s Show |
E544127
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Tinsley Grimes
Tinsley Grimes is an American actress best known for her role on the short-lived television sitcom "That '80s Show."
|
E1515448
|
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: Tinsley Grimes | Statement: [That '80s Show, starring, Tinsley Grimes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tinsley Grimes Context triple: [That '80s Show, starring, Tinsley Grimes]
-
A.
Harlem Taylor
Harlem Taylor is the son of American rapper and West Coast hip hop artist The Game.
-
B.
Carmell Jones
Carmell Jones was an American hard bop jazz trumpeter known for his lyrical tone and work with artists such as Horace Silver and Gerald Wilson.
-
C.
Ruby Aldridge
Ruby Aldridge is an American fashion model known for her runway and editorial work with major designers and magazines.
-
D.
Desirée Blodgett
Desirée Blodgett is a character in the fantasy drama television series "The Nevers," set in Victorian London and centered on people—mostly women—who manifest unusual abilities.
-
E.
Zora Matthews
Zora Matthews is the central protagonist of the film "Made in America," around whom the story’s family and identity themes revolve.
- 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: Tinsley Grimes Triple: [That '80s Show, starring, Tinsley Grimes]
Generated description
Tinsley Grimes is an American actress best known for her role on the short-lived television sitcom "That '80s Show."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tinsley Grimes Target entity description: Tinsley Grimes is an American actress best known for her role on the short-lived television sitcom "That '80s Show."
-
A.
Harlem Taylor
Harlem Taylor is the son of American rapper and West Coast hip hop artist The Game.
-
B.
Carmell Jones
Carmell Jones was an American hard bop jazz trumpeter known for his lyrical tone and work with artists such as Horace Silver and Gerald Wilson.
-
C.
Ruby Aldridge
Ruby Aldridge is an American fashion model known for her runway and editorial work with major designers and magazines.
-
D.
Desirée Blodgett
Desirée Blodgett is a character in the fantasy drama television series "The Nevers," set in Victorian London and centered on people—mostly women—who manifest unusual abilities.
-
E.
Zora Matthews
Zora Matthews is the central protagonist of the film "Made in America," around whom the story’s family and identity themes revolve.
- 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_69e11e2f98c8819083e11eab90942a78 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127ee84848190a22c24bf14498520 |
completed | April 28, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a7b69b60881908bcd9e4b45bef76a |
completed | May 18, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_6a0a7cc28f4c819090f937449dde8a64 |
completed | May 18, 2026, 2:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a7d29f5a08190b41cad11e2192727 |
completed | May 18, 2026, 2:44 a.m. |
Created at: April 16, 2026, 8:24 p.m.