Triple
T26385780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | If/Then |
E663274
|
entity |
| Predicate | starredOriginalBroadwayCast |
P4737
|
FINISHED |
| Object |
Jackie Burns
Jackie Burns is an American musical theatre actress best known for her acclaimed performances on Broadway, including in shows like "If/Then" and "Wicked."
|
E1720531
|
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: Jackie Burns | Statement: [If/Then, starredOriginalBroadwayCast, Jackie Burns]
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: Jackie Burns Triple: [If/Then, starredOriginalBroadwayCast, Jackie Burns]
Generated description
Jackie Burns is an American musical theatre actress best known for her acclaimed performances on Broadway, including in shows like "If/Then" and "Wicked."
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: starredOriginalBroadwayCast Context triple: [If/Then, starredOriginalBroadwayCast, Jackie Burns]
-
A.
originalBroadwayStar
chosen
Indicates that the subject was a member of the original Broadway cast in the specified role or production.
-
B.
originalBroadwayProductionTheatre
Indicates the theatre venue where a work’s original Broadway production was staged.
-
C.
appearedInBroadwayProduction
Indicates that an entity participated as part of a Broadway stage production of another work or show.
-
D.
broadwayOriginalLanguage
Indicates the original language in which a Broadway production was first written or performed.
-
E.
originalBroadwayCoStar
Indicates that two performers appeared together as co-stars in the original Broadway production of the same show.
- 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_69ee88374adc81909868f3bab374a32f |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f6352fdb788190b9bad30243690743 |
completed | May 2, 2026, 5:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a119a7cabbc8190a445f6fa865c2446 |
completed | May 23, 2026, 12:15 p.m. |
| NEDg | Description generation | batch_6a119b15cbb4819087ea26f6c87d8732 |
completed | May 23, 2026, 12:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a119ba6270881908b5a151d25fb79d8 |
completed | May 23, 2026, 12:20 p.m. |
| PD | Predicate disambiguation | batch_69f631850ae08190a0ba51e4f1e4ccb3 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 26, 2026, 11:22 p.m.