Triple
T32608912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Love Bug (1968 film) |
E833599
|
entity |
| Predicate | characterPlayedByBuddyHackett |
P198653
|
FINISHED |
| Object | Tennessee Steinmetz |
—
|
NE NERFINISHED |
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: Tennessee Steinmetz | Statement: [The Love Bug (1968 film), characterPlayedByBuddyHackett, Tennessee Steinmetz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterPlayedByBuddyHackett Context triple: [The Love Bug (1968 film), characterPlayedByBuddyHackett, Tennessee Steinmetz]
-
A.
characterPlayedByDanDuryea
Indicates that the referenced character is portrayed or played by the actor Dan Duryea.
-
B.
characterPlayedBy Bob Monkhouse
Indicates that a character is portrayed or acted by Bob Monkhouse.
-
C.
characterPlayedBy John Hodiak
Indicates that a specific character is portrayed or acted by John Hodiak.
-
D.
characterPlayedByEdwardMulhare
Indicates that the subject is a character that was portrayed or played by Edward Mulhare.
-
E.
characterPlayedBy Charles Hawtrey
Indicates that a given character is portrayed or acted by Charles Hawtrey.
- 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_69fefa064ab48190925759950d0d94d9 |
completed | May 9, 2026, 9:10 a.m. |
| PD | Predicate disambiguation | batch_69fef96ae5d08190b027435753c44821 |
completed | May 9, 2026, 9:07 a.m. |
| PDg | Predicate description generation | batch_69fefa05757481908fa38f5c604afbbe |
completed | May 9, 2026, 9:10 a.m. |
Created at: May 1, 2026, 1:05 a.m.