Triple
T32606360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saratoga (1937 film) |
E833531
|
entity |
| Predicate | scenesCompletedByJeanHarlow |
P174641
|
FINISHED |
| Object | approximately 90 percent |
—
|
LITERAL 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: approximately 90 percent | Statement: [Saratoga (1937 film), scenesCompletedByJeanHarlow, approximately 90 percent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scenesCompletedByJeanHarlow Context triple: [Saratoga (1937 film), scenesCompletedByJeanHarlow, approximately 90 percent]
-
A.
CaroleLombardFinalFilm
Indicates that the referenced work is the last film appearance made by Carole Lombard.
-
B.
hasJoanFontaineRole
Indicates that an entity has a role played by Joan Fontaine in a film, television, or theatrical production.
-
C.
hasMarleneDietrichRoleType
Indicates that an entity has a specific type or category of role associated with Marlene Dietrich.
-
D.
starGloriaSwansonLaterAppearedIn
Indicates that Gloria Swanson, who starred in a work, later appeared in another related work.
-
E.
end time of marriage with Humphrey Bogart
Indicates the date and time at which a person’s marriage to Humphrey Bogart ended.
- F. None of above. chosen
Provenance (4 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_69f3492bfa648190b6ae472074634e29 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6c6c719488190b91df99a88a5119b |
completed | May 3, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2c138481908afa3ee3e91f8900 |
completed | May 3, 2026, 3:12 a.m. |
| PDg | Predicate description generation | batch_69f6c2df27ec8190912ec8eb488836d0 |
completed | May 3, 2026, 3:37 a.m. |
Created at: May 1, 2026, 1:05 a.m.