Triple
T32608913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Love Bug (1968 film) |
E833599
|
entity |
| Predicate | characterPlayedByDavidTomlinson |
P198679
|
FINISHED |
| Object | Peter Thorndyke |
—
|
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: Peter Thorndyke | Statement: [The Love Bug (1968 film), characterPlayedByDavidTomlinson, Peter Thorndyke]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterPlayedByDavidTomlinson Context triple: [The Love Bug (1968 film), characterPlayedByDavidTomlinson, Peter Thorndyke]
-
A.
characterPlayedBy Jonathan Tucker
Indicates that the specified character is portrayed or acted by Jonathan Tucker.
-
B.
characterVoicedBy Seann William Scott
Indicates that a character is voiced by Seann William Scott.
-
C.
characterPlayedByEdwardMulhare
Indicates that the subject is a character that was portrayed or played by Edward Mulhare.
-
D.
playedBy
Indicates that a role, character, or performance is portrayed or executed by a specific person or agent.
-
E.
characterPlayedByDeanJones
Indicates that a given character is portrayed or acted by Dean Jones.
- 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_69fefb15220081908da36aac386fa582 |
completed | May 9, 2026, 9:15 a.m. |
| PD | Predicate disambiguation | batch_69fefa8e8ad48190a723fed81e9d64d0 |
completed | May 9, 2026, 9:12 a.m. |
| PDg | Predicate description generation | batch_69fefb13eb288190bcfae0541cfd7b98 |
completed | May 9, 2026, 9:15 a.m. |
Created at: May 1, 2026, 1:05 a.m.