Triple
T32544403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hugh Jackman as P. T. Barnum |
E831800
|
entity |
| Predicate | leadsOrganizationInFiction |
P90243
|
FINISHED |
| Object | Barnum & Bailey style 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: Barnum & Bailey style circus | Statement: [Hugh Jackman as P. T. Barnum, leadsOrganizationInFiction, Barnum & Bailey style circus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadsOrganizationInFiction Context triple: [Hugh Jackman as P. T. Barnum, leadsOrganizationInFiction, Barnum & Bailey style circus]
-
A.
leadsToFictional
Indicates that one entity causes, results in, or gives rise to a fictional work, scenario, or construct involving another entity.
-
B.
organizerInFiction
Indicates that an entity serves as an organizer or coordinating figure within a fictional context or narrative.
-
C.
fictionalUniverseOrganizationLed
chosen
Indicates that an organization is led or headed by a particular entity within a fictional universe.
-
D.
authorshipInFiction
Indicates that one entity is the creator or writer of a fictional work in which another entity appears or is represented.
-
E.
conductsInFiction
Indicates that an entity carries out or performs an action or role within a fictional context or narrative.
- 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_69f34925fd08819084cfe4ec566cb704 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c5b7e46081909975b05f7298cc0e |
completed | May 3, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2a14b081908162923dfbf0a6f4 |
completed | May 3, 2026, 3:12 a.m. |
Created at: May 1, 2026, 1:02 a.m.