Triple
T12670611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Michael Hfuhruhurr |
E302667
|
entity |
| Predicate | loveInterest |
P7325
|
FINISHED |
| Object |
Anne Uumellmahaye
Anne Uumellmahaye is the disembodied brain with whom Dr. Michael Hfuhruhurr falls in love in the 1983 comedy film "The Man with Two Brains."
|
E995516
|
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: Anne Uumellmahaye | Statement: [Dr. Michael Hfuhruhurr, loveInterest, Anne Uumellmahaye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anne Uumellmahaye Context triple: [Dr. Michael Hfuhruhurr, loveInterest, Anne Uumellmahaye]
-
A.
Nanuya Levu
Nanuya Levu is a small, tropical Fijian island in the Yasawa archipelago, known for its secluded beaches and use as a filming location for the movie "The Blue Lagoon."
-
B.
Fairuza
Fairuza is a feminine given name most famously borne by American actress Fairuza Balk.
-
C.
Amaya Namani
Amaya Namani is an individual known for a close professional or personal association with Jules Reyes.
-
D.
Alamelu
Alamelu is a South Indian feminine given name, commonly used in Tamil and Telugu communities and often associated with Hindu cultural and religious traditions.
-
E.
Nona
Nona is one of the traditional bells of St Mark's Campanile in Venice, historically used to sound the ninth hour and mark time for the city.
- 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: Anne Uumellmahaye Triple: [Dr. Michael Hfuhruhurr, loveInterest, Anne Uumellmahaye]
Generated description
Anne Uumellmahaye is the disembodied brain with whom Dr. Michael Hfuhruhurr falls in love in the 1983 comedy film "The Man with Two Brains."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anne Uumellmahaye Target entity description: Anne Uumellmahaye is the disembodied brain with whom Dr. Michael Hfuhruhurr falls in love in the 1983 comedy film "The Man with Two Brains."
-
A.
Nanuya Levu
Nanuya Levu is a small, tropical Fijian island in the Yasawa archipelago, known for its secluded beaches and use as a filming location for the movie "The Blue Lagoon."
-
B.
Fairuza
Fairuza is a feminine given name most famously borne by American actress Fairuza Balk.
-
C.
Amaya Namani
Amaya Namani is an individual known for a close professional or personal association with Jules Reyes.
-
D.
Alamelu
Alamelu is a South Indian feminine given name, commonly used in Tamil and Telugu communities and often associated with Hindu cultural and religious traditions.
-
E.
Nona
Nona is one of the traditional bells of St Mark's Campanile in Venice, historically used to sound the ninth hour and mark time for the city.
- F. None of above. chosen
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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96183a6048190b2ef219eb9d20aa4 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6688e101481909bc3b9e13ed84632 |
completed | May 2, 2026, 9:11 p.m. |
| NEDg | Description generation | batch_69f6697e3a688190abd025df1112feba |
completed | May 2, 2026, 9:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f66a9230608190bfe99290ca1679fa |
completed | May 2, 2026, 9:20 p.m. |
Created at: April 9, 2026, 5:20 p.m.