Triple
T33217498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mouth of Sauron |
E850324
|
entity |
| Predicate | unseenInText |
P119463
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Mouth of Sauron, unseenInText, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: unseenInText Context triple: [Mouth of Sauron, unseenInText, true]
-
A.
unseenCharacter
Indicates that a character exists in the narrative or context but does not appear directly or visibly in the current scene or depiction.
-
B.
mentionedButUnseen
chosen
Indicates that an entity is referred to or talked about within a context but does not actually appear or become directly observable there.
-
C.
followsInText
Indicates that one textual element appears immediately or subsequently after another within the same text.
-
D.
numberInSomeTexts
Indicates that an entity is assigned or appears with a particular numerical value in at least some texts or sources.
-
E.
neverSeenWithout
Indicates that one entity is always accompanied by another and is not observed in situations where the other is absent.
- 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_69f3496083dc8190b229bb6932dc548b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6dd3cc0648190a275812d6711275a |
completed | May 3, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69f6d82eaee081908f06a71546315aea |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:30 a.m.