Triple
T26828052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glaurung |
E675422
|
entity |
| Predicate | firstOfKind |
P124267
|
FINISHED |
| Object | dragons of Middle-earth |
—
|
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: dragons of Middle-earth | Statement: [Glaurung, firstOfKind, dragons of Middle-earth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstOfKind Context triple: [Glaurung, firstOfKind, dragons of Middle-earth]
-
A.
firstOfType
chosen
Indicates that the subject is the earliest or initial instance of its kind within a specified group, category, or sequence.
-
B.
firstOf
Indicates that one entity is the earliest or initial member in an ordered sequence or collection relative to the others.
-
C.
firstOfSpeciesIn
Indicates that an entity is the earliest or original member of its species to appear or occur within a specified context, location, or timeframe.
-
D.
oneOfFirstIn
Indicates that the subject is among the first items in an ordered set or sequence, but not necessarily the very first one.
-
E.
firstOrdinary
Indicates that the subject is the first entity to hold or occupy an ordinary (non-special, standard) position, role, or status in a given sequence or context.
- 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_69eee9b776448190993a60b67fcc9545 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69fe9fb9735c8190a360b556c9d00b3f |
completed | May 9, 2026, 2:45 a.m. |
| PD | Predicate disambiguation | batch_69fe9eaa88008190a9b2a469dc685002 |
completed | May 9, 2026, 2:40 a.m. |
Created at: April 27, 2026, 4:59 a.m.