Triple
T21898965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shane McCutcheon |
E540756
|
entity |
| Predicate | romanticallyInvolvedWith |
P9994
|
FINISHED |
| Object |
Molly Kroll
Molly Kroll is a character on the television series "The L Word," known as a thoughtful, idealistic law student who becomes involved with Shane McCutcheon.
|
E1514338
|
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: Molly Kroll | Statement: [Shane McCutcheon, romanticallyInvolvedWith, Molly Kroll]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Molly Kroll Context triple: [Shane McCutcheon, romanticallyInvolvedWith, Molly Kroll]
-
A.
Molly Friedman
Molly Friedman is the daughter of American novelist and screenwriter Bruce Jay Friedman.
-
B.
Molly Arkin
Molly Arkin is the daughter of American actor and director Adam Arkin.
-
C.
Molly Allen
Molly Allen is a film producer known for her work on the 2014 comedy-drama "Chef."
-
D.
Molly Neuman
Molly Neuman is an American musician and feminist known as a pioneering figure in the riot grrrl movement, particularly through her work as the drummer for influential punk bands like Bratmobile.
-
E.
Katie Morosky
Katie Morosky is a politically passionate, idealistic Jewish woman whose complex romance with a more easygoing man forms the emotional core of the film "The Way We Were."
- 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: Molly Kroll Triple: [Shane McCutcheon, romanticallyInvolvedWith, Molly Kroll]
Generated description
Molly Kroll is a character on the television series "The L Word," known as a thoughtful, idealistic law student who becomes involved with Shane McCutcheon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Molly Kroll Target entity description: Molly Kroll is a character on the television series "The L Word," known as a thoughtful, idealistic law student who becomes involved with Shane McCutcheon.
-
A.
Molly Friedman
Molly Friedman is the daughter of American novelist and screenwriter Bruce Jay Friedman.
-
B.
Molly Arkin
Molly Arkin is the daughter of American actor and director Adam Arkin.
-
C.
Molly Allen
Molly Allen is a film producer known for her work on the 2014 comedy-drama "Chef."
-
D.
Molly Neuman
Molly Neuman is an American musician and feminist known as a pioneering figure in the riot grrrl movement, particularly through her work as the drummer for influential punk bands like Bratmobile.
-
E.
Katie Morosky
Katie Morosky is a politically passionate, idealistic Jewish woman whose complex romance with a more easygoing man forms the emotional core of the film "The Way We Were."
- 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_69e0c47b4e8c81908c8076eaa4c8e4f2 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f11fc8c2108190b55ff1ba3badc9fb |
completed | April 28, 2026, 8:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a7361a24081908b1334e2ad9923f9 |
completed | May 18, 2026, 2:03 a.m. |
| NEDg | Description generation | batch_6a0a780f0c008190bd56b7af0bebbc85 |
completed | May 18, 2026, 2:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a78c2a94c8190841463b0a52ba16e |
completed | May 18, 2026, 2:26 a.m. |
Created at: April 16, 2026, 7:07 p.m.