Triple
T13982112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ted Logan |
E336335
|
entity |
| Predicate | hasFriend |
P8712
|
FINISHED |
| Object |
Rufus
Rufus is the charismatic, time-traveling mentor from the "Bill & Ted" film series who guides the protagonists on their adventures.
|
E837287
|
NE FINISHED |
How this triple was built (4 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: Rufus | Statement: [Ted Logan, hasFriend, Rufus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rufus Context triple: [Ted Logan, hasFriend, Rufus]
-
A.
Rufus
Rufus is the given first name of American actor and director Alan Hale Sr., known for his prolific work in early Hollywood cinema.
-
B.
Rufus
Rufus is a cognomen historically used by members of the Roman gens Octavia, distinguishing a particular family branch within that lineage.
-
C.
Rufus
Rufus is a French actor best known internationally for his supporting role in the whimsical film "Amélie."
-
D.
Rufus
Rufus is a masculine given name of Latin origin meaning "red-haired" or "red."
-
E.
Rufus
Rufus is a figure mentioned in the New Testament, traditionally identified as a Christian in Rome greeted by the Apostle Paul and believed to be the son of Simon of Cyrene.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Rufus Triple: [Ted Logan, hasFriend, Rufus]
Generated description
Rufus is the charismatic, time-traveling mentor from the "Bill & Ted" film series who guides the protagonists on their adventures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rufus Target entity description: Rufus is the charismatic, time-traveling mentor from the "Bill & Ted" film series who guides the protagonists on their adventures.
-
A.
Rufus
chosen
Rufus is the time-traveling mentor from the comedy film "Bill & Ted’s Excellent Adventure," who guides the protagonists to ensure their destined future.
-
B.
Rufus
Rufus is the hapless yet determined protagonist of Kevin Smith’s film "Dogma," who becomes entangled in a cosmic battle over Catholic doctrine.
-
C.
Rufus
Rufus is a French actor best known internationally for his supporting role in the whimsical film "Amélie."
-
D.
Rufus
Rufus is the given first name of American actor and director Alan Hale Sr., known for his prolific work in early Hollywood cinema.
-
E.
Rufus
Rufus is a figure mentioned in the New Testament, traditionally identified as a Christian in Rome greeted by the Apostle Paul and believed to be the son of Simon of Cyrene.
- F. None of above.
Provenance (5 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ea2e8808190a1203a6386224bd8 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1ca49a881909e77b5a2ae13265f |
completed | May 6, 2026, 8:17 p.m. |
| NEDg | Description generation | batch_69fba6e596a081909843ea5173e60af4 |
completed | May 6, 2026, 8:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fba74fe350819080eee658bca7eaf0 |
completed | May 6, 2026, 8:40 p.m. |
Created at: April 9, 2026, 10:18 p.m.