Triple
T32401532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sudden Death |
E827963
|
entity |
| Predicate | includesFictionalTeam |
P203712
|
FINISHED |
| Object | Pittsburgh Penguins |
E8753
|
NE 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: Pittsburgh Penguins | Statement: [Sudden Death, includesFictionalTeam, Pittsburgh Penguins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesFictionalTeam Context triple: [Sudden Death, includesFictionalTeam, Pittsburgh Penguins]
-
A.
portraysFictionalTeam
Indicates that one entity depicts or represents a fictional team within a work or medium.
-
B.
fictionalTeam
Indicates that the related entities are members of, or otherwise associated with, the same fictional team within a narrative or imaginary context.
-
C.
divisionOfFictionalTeam
Indicates that a fictional team belongs to or competes within a specific division or grouping in its fictional context.
-
D.
fictionalLeague
Indicates that an entity is associated with or belongs to a league that exists only in fiction rather than in reality.
-
E.
leagueOfFictionalTeam
Indicates that a fictional sports team is a member of, or competes within, a particular sports league.
- F. None of above. chosen
Provenance (5 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_69f34919342c8190a4c3bf35a90d4e58 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a01ccd995e48190b6675e463bd0a567 |
completed | May 11, 2026, 12:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a344f1317908190b1aa12bbca75c656 |
completed | June 18, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_6a01cc33177c8190bc0703276618b3ec |
completed | May 11, 2026, 12:31 p.m. |
| PDg | Predicate description generation | batch_6a01ccd8c6108190b4b0e991805a750d |
completed | May 11, 2026, 12:34 p.m. |
Created at: May 1, 2026, 12:52 a.m.