Triple
T32608911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Love Bug (1968 film) |
E833599
|
entity |
| Predicate | characterPlayedByMicheleLee |
P9616
|
FINISHED |
| Object |
Carole Bennett
Carole Bennett is a fictional character from the 1968 Disney comedy film "The Love Bug," portrayed by actress Michele Lee.
|
E2016353
|
NE FINISHED |
How this triple was built (3 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: Carole Bennett | Statement: [The Love Bug (1968 film), characterPlayedByMicheleLee, Carole Bennett]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Carole Bennett Triple: [The Love Bug (1968 film), characterPlayedByMicheleLee, Carole Bennett]
Generated description
Carole Bennett is a fictional character from the 1968 Disney comedy film "The Love Bug," portrayed by actress Michele Lee.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterPlayedByMicheleLee Context triple: [The Love Bug (1968 film), characterPlayedByMicheleLee, Carole Bennett]
-
A.
leadCharacterPlayedByLeeJung-jae
Indicates that the work’s lead character is portrayed by actor Lee Jung-jae.
-
B.
characterPlayedBy_MichelleRyan
Indicates that the subject is a character portrayed or played by Michelle Ryan.
-
C.
characterPlayedByEdwardMulhare
Indicates that the subject is a character that was portrayed or played by Edward Mulhare.
-
D.
characterPlayedBy Emmanuelle Chriqui
Indicates that the role or character in question is portrayed or acted by Emmanuelle Chriqui.
-
E.
playedBy
chosen
Indicates that a role, character, or performance is portrayed or executed by a specific person or agent.
- F. None of above.
Provenance (6 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_69fef8c3f2388190b995ec173512945a |
completed | May 9, 2026, 9:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a34929988dc81908b400f69e1cd2b16 |
completed | June 19, 2026, 12:51 a.m. |
| NEDg | Description generation | batch_6a349371b8d88190a2c08921c9b35d27 |
completed | June 19, 2026, 12:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3493e636b08190852e2c7126ce950a |
completed | June 19, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69fef65975608190960b78d27e806d4f |
completed | May 9, 2026, 8:54 a.m. |
Created at: May 1, 2026, 1:05 a.m.