Triple
T3760473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mean Girls (2004 film) |
E82147
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Aaron Samuels
Aaron Samuels is the popular high school heartthrob and love interest of Cady Heron and Regina George in the teen comedy film "Mean Girls."
|
E385801
|
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: Aaron Samuels | Statement: [Mean Girls (2004 film), mainCharacter, Aaron Samuels]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aaron Samuels Context triple: [Mean Girls (2004 film), mainCharacter, Aaron Samuels]
-
A.
Samuel Baum
Samuel Baum is a television writer and producer best known for creating the crime drama series "Lie to Me."
-
B.
Andrew Lauren
Andrew Lauren is an American film producer and actor, known for his work in independent cinema and as a member of the Lauren fashion family.
-
C.
Samuel Rubin
Samuel Rubin was a philanthropist and businessman best known for founding the Samuel Rubin Foundation, which supported social justice, peace, and human rights initiatives.
-
D.
Benjamin Maisani
Benjamin Maisani is a French-born nightclub owner and businessman best known as the longtime partner of American journalist Anderson Cooper.
-
E.
Andrew Cohen
Andrew Cohen is an entrepreneur best known as a founder of the wireless technology company Qualcomm.
- 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: Aaron Samuels Triple: [Mean Girls (2004 film), mainCharacter, Aaron Samuels]
Generated description
Aaron Samuels is the popular high school heartthrob and love interest of Cady Heron and Regina George in the teen comedy film "Mean Girls."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aaron Samuels Target entity description: Aaron Samuels is the popular high school heartthrob and love interest of Cady Heron and Regina George in the teen comedy film "Mean Girls."
-
A.
Samuel Baum
Samuel Baum is a television writer and producer best known for creating the crime drama series "Lie to Me."
-
B.
Andrew Lauren
Andrew Lauren is an American film producer and actor, known for his work in independent cinema and as a member of the Lauren fashion family.
-
C.
Samuel Rubin
Samuel Rubin was a philanthropist and businessman best known for founding the Samuel Rubin Foundation, which supported social justice, peace, and human rights initiatives.
-
D.
Benjamin Maisani
Benjamin Maisani is a French-born nightclub owner and businessman best known as the longtime partner of American journalist Anderson Cooper.
-
E.
Andrew Cohen
Andrew Cohen is an entrepreneur best known as a founder of the wireless technology company Qualcomm.
- 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_69ad8b1db40081908b61ffa6b78afd4d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcbc3d3f48190974cec104080949f |
completed | March 8, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e5172abc81909cfa709ea866dc57 |
completed | March 14, 2026, 4:33 a.m. |
| NEDg | Description generation | batch_69b4e65f868c819099b4fbf129773e6d |
completed | March 14, 2026, 4:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4e6bc95cc8190852b833e111cd889 |
completed | March 14, 2026, 4:40 a.m. |
Created at: March 8, 2026, 3:35 p.m.