Triple
T16130408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orlando (1992 film) |
E391380
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | John Wood |
E302643
|
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: John Wood | Statement: [Orlando (1992 film), starring, John Wood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Wood Context triple: [Orlando (1992 film), starring, John Wood]
-
A.
John Wood
chosen
John Wood was a British character actor known for his distinguished stage and screen career, including roles in films such as "Jumpin' Jack Flash" and "WarGames."
-
B.
John Wood
John Wood was an early 19th-century linguist and documenter known for recording and preserving the Nottoway (Cheroenhaka) language.
-
C.
John Wood
John Wood was a British actor active in the early 20th century who appeared in films such as the 1935 historical drama "The Last Days of Pompeii."
-
D.
George Tyler Wood
George Tyler Wood was an American politician who served as the second governor of the state of Texas from 1847 to 1849.
-
E.
William Dennis Weaver
William Dennis Weaver was an American actor best known for his roles in the television series "Gunsmoke" and "McCloud," as well as the film "Duel."
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2020829e88190b51ab32d22cf0259 |
completed | April 17, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff2aff07c8190bf693f652e2a2808 |
completed | May 10, 2026, 2:51 a.m. |
Created at: April 10, 2026, 5:01 a.m.