Triple
T21590283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hit & Miss |
E532759
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Roma Christensen
Roma Christensen is an actress known for her role in the television drama series "Hit & Miss."
|
E1498423
|
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: Roma Christensen | Statement: [Hit & Miss, starring, Roma Christensen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roma Christensen Context triple: [Hit & Miss, starring, Roma Christensen]
-
A.
Diana Christensen
Diana Christensen is the ambitious, coldly calculating television executive and central antagonist in the 1976 satirical film "Network."
-
B.
Tina Christensen
Tina Christensen is a Danish film editor and translator known for her work subtitling and editing a wide range of international films.
-
C.
Christine Olsen
Christine Olsen is an Australian film producer best known for her work on the acclaimed drama "Rabbit-Proof Fence."
-
D.
Carmen Rasmusen
Carmen Rasmusen is a Canadian-American country singer and actress who gained national recognition as a teenage finalist on the second season of American Idol.
-
E.
Tove Christensen
Tove Christensen is a Canadian film producer and actor, best known for his work behind the scenes on independent films and for being the older brother of actor Hayden Christensen.
- 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: Roma Christensen Triple: [Hit & Miss, starring, Roma Christensen]
Generated description
Roma Christensen is an actress known for her role in the television drama series "Hit & Miss."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roma Christensen Target entity description: Roma Christensen is an actress known for her role in the television drama series "Hit & Miss."
-
A.
Diana Christensen
Diana Christensen is the ambitious, coldly calculating television executive and central antagonist in the 1976 satirical film "Network."
-
B.
Tina Christensen
Tina Christensen is a Danish film editor and translator known for her work subtitling and editing a wide range of international films.
-
C.
Christine Olsen
Christine Olsen is an Australian film producer best known for her work on the acclaimed drama "Rabbit-Proof Fence."
-
D.
Carmen Rasmusen
Carmen Rasmusen is a Canadian-American country singer and actress who gained national recognition as a teenage finalist on the second season of American Idol.
-
E.
Tove Christensen
Tove Christensen is a Canadian film producer and actor, best known for his work behind the scenes on independent films and for being the older brother of actor Hayden Christensen.
- 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_69e0c46251648190876f0427cf2d321b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eefadd0ec88190929c76137bd1603e |
completed | April 27, 2026, 5:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a249aea108190b9954345bab537d6 |
completed | May 17, 2026, 8:27 p.m. |
| NEDg | Description generation | batch_6a0a277b5c2c8190a1f27decb7cedf58 |
completed | May 17, 2026, 8:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a2802f0d481908cb62d5b95098d3b |
completed | May 17, 2026, 8:41 p.m. |
Created at: April 16, 2026, 6:32 p.m.