Triple
T5358787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Douglas arms (argent, a man's heart gules crowned or, on a chief azure three mullets argent) |
E102768
|
entity |
| Predicate | numberOfMullets |
P62999
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Douglas arms (argent, a man's heart gules crowned or, on a chief azure three mullets argent), numberOfMullets, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMullets Context triple: [Douglas arms (argent, a man's heart gules crowned or, on a chief azure three mullets argent), numberOfMullets, 3]
-
A.
mastCount
Indicates the number of masts associated with or present on a given entity.
-
B.
numberOfHumps
Indicates the quantity of humps possessed by an entity.
-
C.
numberOfColossalHeads
Indicates the quantity of colossal heads associated with or attributed to a given subject.
-
D.
numberOfHeads
Indicates the count of heads that an entity possesses.
-
E.
hornCount
Indicates the number of horns possessed by an 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_69bd43d8f7248190b64c140734b5c9a8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd8631ca2c8190856258bf340f6e5d |
completed | March 20, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69bd845f41f88190b75b8b64b9e41862 |
completed | March 20, 2026, 5:31 p.m. |
| PDg | Predicate description generation | batch_69bd85731dcc8190b4c1fe155967ab81 |
completed | March 20, 2026, 5:35 p.m. |
Created at: March 20, 2026, 2:02 p.m.