Triple
T31152635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Farrokh Daruwalla |
E794118
|
entity |
| Predicate | centralMotifAroundCharacter |
P90985
|
FINISHED |
| Object | circus |
—
|
LITERAL FINISHED |
How this triple was built (2 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: circus | Statement: [Dr. Farrokh Daruwalla, centralMotifAroundCharacter, circus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centralMotifAroundCharacter Context triple: [Dr. Farrokh Daruwalla, centralMotifAroundCharacter, circus]
-
A.
centralFigureTrait
Indicates that a particular trait or characteristic is associated with the central or primary figure in a given context.
-
B.
thematicCharacter
chosen
Indicates that an entity serves as a central or recurring figure embodying key themes or motifs within a narrative or discourse.
-
C.
allyOfCharacter
Indicates that one character maintains an alliance or supportive partnership with another character.
-
D.
childOfCharacter
Indicates that one character is the offspring (biological, adopted, or otherwise recognized child) of another character.
-
E.
plotCharacter
Indicates a relationship where a character plays a role or participates in the narrative plot of a story or work.
- F. None of above.
Provenance (3 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_69f224d41bb48190a5621cd1485e3a30 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fbaebc8f2c8190b94f1b4a3ec92e8c |
completed | May 6, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69fbadf1e6008190a71bbd196ba06844 |
completed | May 6, 2026, 9:09 p.m. |
Created at: April 29, 2026, 9:06 p.m.