Triple
T8641072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Her Highness |
E204647
|
entity |
| Predicate | typicalPositionInSentence |
P84390
|
FINISHED |
| Object | preceding the person’s name |
—
|
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: preceding the person’s name | Statement: [Her Highness, typicalPositionInSentence, preceding the person’s name]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalPositionInSentence Context triple: [Her Highness, typicalPositionInSentence, preceding the person’s name]
-
A.
positionSpecific
Indicates that something applies only at, or is defined with respect to, a particular position or location within a larger structure or sequence.
-
B.
positionInCase
Indicates the specific role, status, or placement that an entity holds within a particular case or legal proceeding.
-
C.
typicalRecipientPosition
Indicates the usual or expected spatial or organizational position where a recipient is located relative to the action or source.
-
D.
positionTerm
Indicates that one entity holds, is assigned, or is described by a specific role, title, or positional designation in relation to another entity.
-
E.
typicalPositionBias
Indicates a systematic tendency for something to be placed, chosen, or interpreted in a commonly favored or default position relative to other options.
- 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_69ca834ca1c88190a11ffb0200342fac |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc47944d1c819081f448f14d04bf9d |
completed | March 31, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69cc455d6d448190a2da2a319ac78c37 |
completed | March 31, 2026, 10:06 p.m. |
| PDg | Predicate description generation | batch_69cc479284a8819099b0b0d879af3372 |
completed | March 31, 2026, 10:15 p.m. |
Created at: March 30, 2026, 6:28 p.m.