Triple
T20192154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nightmare |
E493000
|
entity |
| Predicate | bossPhaseCount |
P139086
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Nightmare, bossPhaseCount, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bossPhaseCount Context triple: [Nightmare, bossPhaseCount, 2]
-
A.
phaseCount
Indicates the number of distinct phases or stages associated with a given process, event, or entity.
-
B.
numberOfBosses
Indicates the count of distinct boss or supervisor entities associated with a given entity.
-
C.
numberPerStage
Indicates the quantity or count associated with each distinct stage in a multi-stage process or sequence.
-
D.
targetsPhase
Indicates that an action, process, or entity is specifically directed toward or intended to affect a particular phase or stage within a larger sequence or lifecycle.
-
E.
numberOfStages
Indicates the total count of distinct stages or phases associated with a given process, event, or entity.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ad654648190a27521e6e8ea40c5 |
completed | April 20, 2026, 6:05 p.m. |
| PD | Predicate disambiguation | batch_69e55b11124c8190babacf2a0fe2d057 |
completed | April 19, 2026, 10:45 p.m. |
| PDg | Predicate description generation | batch_69e56700b1a08190ace53cf95827d72d |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 11, 2026, 11:37 p.m.