Triple
T36181592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victoria Essex |
E1046729
|
entity |
| Predicate | hasFictionalGuardian |
P93049
|
FINISHED |
| Object |
CC Bloom
CC Bloom is a fictional character best known as the brash, ambitious singer and actress portrayed by Bette Midler in the film "Beaches."
|
E323383
|
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: CC Bloom | Statement: [Victoria Essex, hasFictionalGuardian, CC Bloom]
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: CC Bloom Triple: [Victoria Essex, hasFictionalGuardian, CC Bloom]
Generated description
CC Bloom is a fictional character best known as the brash, ambitious singer and actress portrayed by Bette Midler in the film "Beaches."
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFictionalGuardian Context triple: [Victoria Essex, hasFictionalGuardian, CC Bloom]
-
A.
hasGuardianCharacter
chosen
Indicates that one entity serves as a guardian or protective character for another entity.
-
B.
hasFictionalPet
Indicates that an entity has, owns, or is associated with a pet that is fictional or imaginary.
-
C.
hasFictionalCompanion
Indicates that one entity has another entity as its fictional companion, typically within a narrative or imaginative context.
-
D.
hasFictionalSibling
Indicates that one entity is a fictional character who is a sibling of another entity.
-
E.
hasImaginaryFriendCharacter
Indicates that an entity is associated with or has an imaginary friend character.
- 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_69f76e3c1b10819081fc7a807a71cf84 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a000014497c819088d5cda3977522dd |
completed | May 10, 2026, 3:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a39340d888c8190b062fb762bfee921 |
completed | June 22, 2026, 1:09 p.m. |
| NEDg | Description generation | batch_6a393551ea208190a075eb301aa99bc7 |
completed | June 22, 2026, 1:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3935ed3c3c8190bf17fe2eb6eb45d4 |
completed | June 22, 2026, 1:17 p.m. |
| PD | Predicate disambiguation | batch_69ffff9a52b08190be1024e0fb6fe661 |
completed | May 10, 2026, 3:46 a.m. |
Created at: May 3, 2026, 4:08 p.m.