Triple
T1804222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marcia Lucas |
E39785
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Marcia Lucas |
E39785
|
NE FINISHED |
How this triple was built (2 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: Marcia Lucas | Statement: [Marcia Lucas, name, Marcia Lucas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marcia Lucas Context triple: [Marcia Lucas, name, Marcia Lucas]
-
A.
Marcia Lucas
chosen
Marcia Lucas is an American film editor best known for her Oscar-winning work on the original Star Wars and her influential role in shaping the pacing and emotional impact of the film.
-
B.
Linda Gray
Linda Gray is the longtime wife of Bee Gees singer Barry Gibb, known for her enduring marriage to the music icon since the 1970s.
-
C.
Dyan Cannon
Dyan Cannon is an American actress, director, and producer known for her work in film and television since the 1960s, as well as for her high-profile marriage to Cary Grant.
-
D.
Angie Dickinson
Angie Dickinson is an American actress best known for her roles in films like "Rio Bravo" and the TV series "Police Woman," which made her a prominent television star in the 1970s.
-
E.
Anita Louise
Anita Louise was an American film and television actress best known for her delicate, ethereal screen presence in 1930s Hollywood productions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a88632aa588190ba3978fde0db5bbd |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa659648e8819085fafb60dc03f14b |
completed | March 6, 2026, 5:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0ab743fc8190b181929109642e36 |
completed | March 8, 2026, 11:48 p.m. |
Created at: March 4, 2026, 7:32 p.m.