Triple
T7551858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bond |
E178553
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Samantha Bond |
E424282
|
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: Samantha Bond | Statement: [Bond, hasNotableBearer, Samantha Bond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samantha Bond Context triple: [Bond, hasNotableBearer, Samantha Bond]
-
A.
Samantha Bond
chosen
Samantha Bond is an English actress best known for playing Miss Moneypenny in the James Bond film series during the Pierce Brosnan era.
-
B.
Samantha Winslow
Samantha Winslow is an American photographer and the wife of renowned film composer John Williams.
-
C.
Sonya Bailey
Sonya Bailey is a fictional character in the television adaptation of "Lethal Weapon," appearing as part of the show's ensemble of law enforcement figures and criminal personalities.
-
D.
Jane Bingum
Jane Bingum is the intelligent, plus-sized lawyer protagonist of the television series "Drop Dead Diva," known for combining sharp legal skills with a compassionate, quirky personality.
-
E.
Anna Beth Sully
Anna Beth Sully was the first wife of silent film star Douglas Fairbanks, whom she married before his rise to Hollywood fame.
- 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_69c69f2cbe08819088f9eb0c03ef529b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8b6c6488190b8fd94aca6ea8486 |
completed | March 27, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84f33c968819089fd0a2b07b076a3 |
completed | March 28, 2026, 9:59 p.m. |
Created at: March 27, 2026, 3:49 p.m.