Triple
T7951724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Life-Size |
E184629
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Robin Russell
Robin Russell is an editor known for her work on the film "Life-Size."
|
E715478
|
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: Robin Russell | Statement: [Life-Size, editedBy, Robin Russell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robin Russell Context triple: [Life-Size, editedBy, Robin Russell]
-
A.
Jill Eikenberry
Jill Eikenberry is an American actress best known for her Emmy-nominated role as attorney Ann Kelsey on the television series "L.A. Law."
-
B.
Tyne Daly
Tyne Daly is an American actress acclaimed for her powerful performances in television dramas, film, and theater, including her iconic role in the series "Cagney & Lacey."
-
C.
Laurie Durning
Laurie Durning is an American filmmaker and costume designer best known for her long-term relationship and later marriage to Pink Floyd co-founder Roger Waters.
-
D.
Lisa Blount
Lisa Blount was an American actress and producer best known for her acclaimed supporting role in the film "An Officer and a Gentleman."
-
E.
Deborah Morse
Deborah Morse is the Alaska high school principal who became the petitioner in the U.S. Supreme Court student-speech case Morse v. Frederick.
- 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: Robin Russell Triple: [Life-Size, editedBy, Robin Russell]
Generated description
Robin Russell is an editor known for her work on the film "Life-Size."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Robin Russell Target entity description: Robin Russell is an editor known for her work on the film "Life-Size."
-
A.
Jill Eikenberry
Jill Eikenberry is an American actress best known for her Emmy-nominated role as attorney Ann Kelsey on the television series "L.A. Law."
-
B.
Tyne Daly
Tyne Daly is an American actress acclaimed for her powerful performances in television dramas, film, and theater, including her iconic role in the series "Cagney & Lacey."
-
C.
Laurie Durning
Laurie Durning is an American filmmaker and costume designer best known for her long-term relationship and later marriage to Pink Floyd co-founder Roger Waters.
-
D.
Lisa Blount
Lisa Blount was an American actress and producer best known for her acclaimed supporting role in the film "An Officer and a Gentleman."
-
E.
Deborah Morse
Deborah Morse is the Alaska high school principal who became the petitioner in the U.S. Supreme Court student-speech case Morse v. Frederick.
- 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_69ca8292cba881908a64427b938dac47 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b5c95908190b6ee900d2b324574 |
completed | March 31, 2026, 3:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbdf7679881909a14c4786c8e3e76 |
completed | April 1, 2026, 6:40 a.m. |
| NEDg | Description generation | batch_69ccc30f1fc48190991e0caa9ea6e735 |
completed | April 1, 2026, 7:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ccd7eca618819081e0c5452c8b1960 |
completed | April 1, 2026, 8:31 a.m. |
Created at: March 30, 2026, 5:10 p.m.