Triple
T596461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlie on the MTA |
E17393
|
entity |
| Predicate | describesFictionalEvent |
P13178
|
FINISHED |
| Object | man unable to leave subway due to unpaid exit fare |
—
|
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: man unable to leave subway due to unpaid exit fare | Statement: [Charlie on the MTA, describesFictionalEvent, man unable to leave subway due to unpaid exit fare]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: describesFictionalEvent Context triple: [Charlie on the MTA, describesFictionalEvent, man unable to leave subway due to unpaid exit fare]
-
A.
mythologicalEvent
Indicates an event or occurrence that takes place within mythological narratives or traditions, often involving gods, heroes, or supernatural phenomena.
-
B.
portraysEvent
Indicates that one entity depicts, represents, or illustrates a particular event.
-
C.
eventDescription
chosen
Indicates that a textual summary or explanation is provided describing what happens in the event.
-
D.
stateInFiction
Indicates that a particular state or condition exists within a fictional context or narrative world rather than in real-world actuality.
-
E.
fictionalUniverse
Indicates that two entities exist within, or are associated with, the same fictional universe or narrative setting.
- 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_69a49379d09c8190ac7e00b24e2810b1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49bd3e5e08190be95cb2009aad42d |
completed | March 1, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69a494cfb52c81908d816a4c5579c321 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:33 p.m.