Triple
T3773126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mean Girls (musical) |
E83241
|
entity |
| Predicate | orchestrator |
P4735
|
FINISHED |
| Object |
John Clancy
John Clancy is a theatre orchestrator best known for his work on the Broadway musical adaptation of "Mean Girls."
|
E387171
|
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: John Clancy | Statement: [Mean Girls (musical), orchestrator, John Clancy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Clancy Context triple: [Mean Girls (musical), orchestrator, John Clancy]
-
A.
Tom Fleming
Tom Fleming is a name shared by several notable individuals, including an American long-distance runner and a Scottish actor and comedian.
-
B.
Stephen Flynn
Stephen Flynn is a Scottish politician who serves as the Westminster leader of the Scottish National Party (SNP).
-
C.
James Jones
James Jones is a former NBA player who became a basketball executive and now leads the Phoenix Suns’ front office.
-
D.
James Jones
James Jones is a retired United States Marine Corps general who served as President Barack Obama’s National Security Advisor.
-
E.
James Jones
James Jones was an American novelist and screenwriter best known for his World War II-themed works such as "From Here to Eternity."
- 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: John Clancy Triple: [Mean Girls (musical), orchestrator, John Clancy]
Generated description
John Clancy is a theatre orchestrator best known for his work on the Broadway musical adaptation of "Mean Girls."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Clancy Target entity description: John Clancy is a theatre orchestrator best known for his work on the Broadway musical adaptation of "Mean Girls."
-
A.
Tom Fleming
Tom Fleming is a name shared by several notable individuals, including an American long-distance runner and a Scottish actor and comedian.
-
B.
Stephen Flynn
Stephen Flynn is a Scottish politician who serves as the Westminster leader of the Scottish National Party (SNP).
-
C.
James Jones
James Jones is a former NBA player who became a basketball executive and now leads the Phoenix Suns’ front office.
-
D.
James Jones
James Jones is a retired United States Marine Corps general who served as President Barack Obama’s National Security Advisor.
-
E.
James Jones
James Jones was an American novelist and screenwriter best known for his World War II-themed works such as "From Here to Eternity."
- 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_69ad8b235e608190b5a2b1d1bfcef50b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc57c9e48190a0f254e47348bf32 |
completed | March 8, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e52bb2d08190b457dd517ff366d7 |
completed | March 14, 2026, 4:33 a.m. |
| NEDg | Description generation | batch_69b4e99c942c819094e2228bd3dc3b30 |
completed | March 14, 2026, 4:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4ea201fe8819098ac5459c39b258c |
completed | March 14, 2026, 4:54 a.m. |
Created at: March 8, 2026, 3:36 p.m.