Triple
T33799010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss World 1967 |
E866158
|
entity |
| Predicate | winnerPredecessor |
P97
|
FINISHED |
| Object |
Reita Faria
Reita Faria is an Indian physician and former model who became the first Indian and first Asian woman to win the Miss World title in 1966.
|
E2067862
|
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: Reita Faria | Statement: [Miss World 1967, winnerPredecessor, Reita Faria]
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: Reita Faria Triple: [Miss World 1967, winnerPredecessor, Reita Faria]
Generated description
Reita Faria is an Indian physician and former model who became the first Indian and first Asian woman to win the Miss World title in 1966.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winnerPredecessor Context triple: [Miss World 1967, winnerPredecessor, Reita Faria]
-
A.
winnerPreviouslyWon
Indicates that the winner has won the same or a related contest/event at least once before.
-
B.
winnerWith
Indicates that one entity is the winner in a context or event specifically in association or combination with another entity.
-
C.
winnerRepresents
Indicates that the winner of a competition or contest serves as a representative for a particular group, organization, or entity.
-
D.
predecessorAward
Indicates that one award directly preceded another award in sequence or succession.
-
E.
predecessor
chosen
Indicates that one entity comes before another in an ordered sequence or succession.
- 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_69f3498f99f481909cb271f4965a7594 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7c29e1b848190b945c6c6120a5330 |
completed | May 3, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a36659785f08190941722f5976ada8e |
completed | June 20, 2026, 10:04 a.m. |
| NEDg | Description generation | batch_6a366671d9cc8190a9fd8b8d02354aa9 |
completed | June 20, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3666fdc7988190bc9542db8e876664 |
completed | June 20, 2026, 10:10 a.m. |
| PD | Predicate disambiguation | batch_69f7c1b6e7a881908deb96bedb2713f4 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 1, 2026, 1:46 a.m.