Triple
T16007384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Sawyer Ford |
E388252
|
entity |
| Predicate | romanticRelationshipWith |
P9994
|
FINISHED |
| Object | Juliet Burke |
E1124790
|
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: Juliet Burke | Statement: [James Sawyer Ford, romanticRelationshipWith, Juliet Burke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juliet Burke Context triple: [James Sawyer Ford, romanticRelationshipWith, Juliet Burke]
-
A.
Juliet Burke
chosen
Juliet Burke is a fertility doctor and member of the Others on the television series "Lost," known for her complex loyalties and evolving relationships with the survivors.
-
B.
Juliet Blake
Juliet Blake is a film and television producer known for her work on projects such as the culinary drama "The Hundred-Foot Journey."
-
C.
Juliet Mills
Juliet Mills is a British-American actress known for her work in film, television, and theatre, including acclaimed performances in both comedic and dramatic roles.
-
D.
Juliet Morrish
Juliet Morrish is a television producer best known for serving as the executive producer of the game show "Tenable."
-
E.
Julia O'Brien
Julia O'Brien is known as the sister of American actor Dylan O'Brien.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15800e3608190bd3e1123ccc6c326 |
completed | April 16, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbca65a4819090109589dba7f7a9 |
completed | May 10, 2026, 1:13 a.m. |
Created at: April 10, 2026, 4:55 a.m.