Triple
T5394076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Goodnight |
E120604
|
entity |
| Predicate | appearsAlongside |
P25756
|
FINISHED |
| Object | Francisco Scaramanga |
E101094
|
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: Francisco Scaramanga | Statement: [Mary Goodnight, appearsAlongside, Francisco Scaramanga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Francisco Scaramanga Context triple: [Mary Goodnight, appearsAlongside, Francisco Scaramanga]
-
A.
Francisco Scaramanga
chosen
Francisco Scaramanga is the suave, highly skilled assassin and primary antagonist known as the "Man with the Golden Gun" in the James Bond film of the same name.
-
B.
Emilio Largo
Emilio Largo is a fictional high-ranking SPECTRE operative and primary antagonist in the James Bond novel and film "Thunderball," known for orchestrating a nuclear extortion plot.
-
C.
Amos Fisk
Amos Fisk is a person notable enough to be recognized as a bearer of the surname Fisk.
-
D.
Treves
Treves, better known as Trier, is a historic German city on the Moselle River renowned for its well-preserved Roman monuments and status as one of Germany’s oldest cities.
-
E.
Treves
Treves was a prominent Italian publishing house known for issuing major literary works in the late 19th and early 20th centuries.
- 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_69bd4637b92c8190b815b6443ae4b323 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87441a208190b79561614759894b |
completed | March 20, 2026, 5:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf336d43a081909ab05d237c297c7b |
completed | March 22, 2026, 12:10 a.m. |
Created at: March 20, 2026, 2:04 p.m.