Triple
T37565786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gwindor |
E933949
|
entity |
| Predicate | lastWordsTopic |
P165591
|
FINISHED |
| Object | Urging Túrin to save Finduilas |
—
|
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: Urging Túrin to save Finduilas | Statement: [Gwindor, lastWordsTopic, Urging Túrin to save Finduilas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastWordsTopic Context triple: [Gwindor, lastWordsTopic, Urging Túrin to save Finduilas]
-
A.
lastWords
Indicates the final words spoken or written by an entity (typically a person) before their death or the end of a significant event.
-
B.
lastWordsTo
Indicates that one entity spoke their final words or message directed specifically to another entity.
-
C.
topicOfDiscourse
chosen
Indicates that something serves as the subject or focus of a particular discussion, conversation, or communicative act.
-
D.
lastLetter
Indicates that one entity is the final character in the written or spelled form of another entity.
-
E.
topicOfDialogue
Indicates that a particular subject or theme is the main focus of a dialogue or conversation between entities.
- 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_69f76ecb4acc8190b53f96d0b013e415 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba61dff5081909fec88a7aeb0c8a1 |
completed | May 6, 2026, 8:35 p.m. |
| PD | Predicate disambiguation | batch_69fba350e9a8819095893229d9643572 |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.