Triple
T32094742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pallando |
E819695
|
entity |
| Predicate | unseenIn |
P124108
|
FINISHED |
| Object | The Lord of the Rings narrative |
—
|
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: The Lord of the Rings narrative | Statement: [Pallando, unseenIn, The Lord of the Rings narrative]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: unseenIn Context triple: [Pallando, unseenIn, The Lord of the Rings narrative]
-
A.
mentionedButUnseen
Indicates that an entity is referred to or talked about within a context but does not actually appear or become directly observable there.
-
B.
unseenCharacter
chosen
Indicates that a character exists in the narrative or context but does not appear directly or visibly in the current scene or depiction.
-
C.
neverSeenWithout
Indicates that one entity is always accompanied by another and is not observed in situations where the other is absent.
-
D.
notObservedIn
Indicates that a particular entity, event, or property has not been detected, recorded, or seen within a specified context, dataset, or environment.
-
E.
seenOn
Indicates that one entity has been visually observed or noticed on, within, or in association with another entity.
- 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_69f349004b2481908ce2e50af0d579a8 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b6405b1881908f9739bf6af05dd1 |
completed | May 3, 2026, 2:43 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a970b0819090c6473844ffa8e3 |
completed | May 3, 2026, 2:32 a.m. |
Created at: May 1, 2026, 12:25 a.m.