Triple
T37464677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tombs of Terror |
E931003
|
entity |
| Predicate | predecessorMode |
P196610
|
FINISHED |
| Object | The Dalaran Heist |
—
|
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: The Dalaran Heist | Statement: [Tombs of Terror, predecessorMode, The Dalaran Heist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: predecessorMode Context triple: [Tombs of Terror, predecessorMode, The Dalaran Heist]
-
A.
predecessorModel
Indicates that one model directly precedes another in a sequence, version history, or developmental lineage.
-
B.
predecessorStatus
Indicates that one entity’s status is determined by, or directly follows from, the status of a preceding entity in a sequence or process.
-
C.
predecessor
Indicates that one entity comes before another in an ordered sequence or succession.
-
D.
predecessorRegimeType
Indicates the type of political regime that immediately governed before the current one.
-
E.
predecessorControl
Indicates that one entity has control or authority over another entity that precedes it in a sequence, process, or hierarchy.
- F. None of above. chosen
Provenance (4 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_69f76ec1a1148190b0a961f188d621b0 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe5d58c3e48190910aa3c23485e2c4 |
completed | May 8, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69fe5c92090c8190bcfa412c0a3619df |
completed | May 8, 2026, 9:58 p.m. |
| PDg | Predicate description generation | batch_69fe5d580d7c819097cb18d438b01d08 |
completed | May 8, 2026, 10:02 p.m. |
Created at: May 3, 2026, 4:17 p.m.