Triple
T35807384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edge and Christian |
E1035134
|
entity |
| Predicate | teammateRealName |
P61732
|
FINISHED |
| Object | Adam Copeland |
—
|
NE NERFINISHED |
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: Adam Copeland | Statement: [Edge and Christian, teammateRealName, Adam Copeland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teammateRealName Context triple: [Edge and Christian, teammateRealName, Adam Copeland]
-
A.
playerFullName
Indicates the complete name of a player, typically combining given and family names into a single full-name string.
-
B.
coachFullName
Indicates the full, properly formatted name of a coach associated with an entity.
-
C.
wasTeammateOf
chosen
Indicates that two entities were members of the same team during an overlapping period of time.
-
D.
hasCompanionTeamName
Indicates that an entity is associated with a companion team identified by the given team name.
-
E.
teammateDynamicWith
Indicates a relationship where two entities are teammates whose interaction or collaboration changes over time or across contexts.
- 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_69f76e1762408190b885a8456862e372 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d219f8819081dc4ce3c83ca0cb |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:06 p.m.