Triple
T7288137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The 100 |
E163925
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object |
Lindsey Morgan
Lindsey Morgan is an American actress best known for her role as Raven Reyes on the science fiction television series "The 100."
|
E678624
|
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: Lindsey Morgan | Statement: [The 100, portrayedBy, Lindsey Morgan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lindsey Morgan Context triple: [The 100, portrayedBy, Lindsey Morgan]
-
A.
Lindsey Nelson
Lindsey Nelson was a prominent American sportscaster best known for his play-by-play broadcasting of college football and New York Mets baseball games.
-
B.
Lindsey Brigman
Lindsey Brigman is a brilliant, strong-willed engineer and co-designer of an experimental underwater drilling platform in the science fiction film "The Abyss."
-
C.
Lindsay Merrill
Lindsay Merrill is an individual notable enough to be recognized as a namesake or prominent bearer of the surname Merrill.
-
D.
Lindsay Mills
Lindsay Mills is an American acrobat, dancer, and blogger best known as the longtime partner of NSA whistleblower Edward Snowden.
-
E.
Lindsay Edgecomb
Lindsay Edgecomb is a popular high school student and the protagonist’s best friend in the teen drama film "Before I Fall."
- 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: Lindsey Morgan Triple: [The 100, portrayedBy, Lindsey Morgan]
Generated description
Lindsey Morgan is an American actress best known for her role as Raven Reyes on the science fiction television series "The 100."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lindsey Morgan Target entity description: Lindsey Morgan is an American actress best known for her role as Raven Reyes on the science fiction television series "The 100."
-
A.
Lindsey Nelson
Lindsey Nelson was a prominent American sportscaster best known for his play-by-play broadcasting of college football and New York Mets baseball games.
-
B.
Lindsey Brigman
Lindsey Brigman is a brilliant, strong-willed engineer and co-designer of an experimental underwater drilling platform in the science fiction film "The Abyss."
-
C.
Lindsay Merrill
Lindsay Merrill is an individual notable enough to be recognized as a namesake or prominent bearer of the surname Merrill.
-
D.
Lindsay Mills
Lindsay Mills is an American acrobat, dancer, and blogger best known as the longtime partner of NSA whistleblower Edward Snowden.
-
E.
Lindsay Edgecomb
Lindsay Edgecomb is a popular high school student and the protagonist’s best friend in the teen drama film "Before I Fall."
- 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_69c6886093b88190a254b1ce6db8bae7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb6a73fc8190ae5ce81fd3e46d87 |
completed | March 27, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c87061cbe48190b82b8d3364788b97 |
completed | March 29, 2026, 12:20 a.m. |
| NEDg | Description generation | batch_69c873a335708190b50ca7a22a36c646 |
completed | March 29, 2026, 12:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c87401aaa48190b3e44298fcd3f37f |
completed | March 29, 2026, 12:36 a.m. |
Created at: March 27, 2026, 2:59 p.m.