Triple
T9615946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marlin |
E232218
|
entity |
| Predicate | familyLossEvent |
P89259
|
FINISHED |
| Object | barracuda attack on eggs and mate |
—
|
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: barracuda attack on eggs and mate | Statement: [Marlin, familyLossEvent, barracuda attack on eggs and mate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: familyLossEvent Context triple: [Marlin, familyLossEvent, barracuda attack on eggs and mate]
-
A.
familyEvent
Indicates a relationship where an event is organized around or significantly involves members of a family, such as gatherings, celebrations, or milestones.
-
B.
family
Indicates a familial relationship or connection between entities, such as being related by blood, marriage, or adoption.
-
C.
familyContext
Indicates that the entities are related or associated within a family or household context, such as kinship, caregiving, or shared domestic life.
-
D.
familyAspect
Indicates a relationship where one entity is characterized by a particular familial role, status, or aspect in relation to another entity.
-
E.
familyOf
Indicates a familial relationship exists between the entities, such as by blood, marriage, or adoption.
- 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_69ca84867bb88190b4b57dd5a56d5691 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9aad71a0819084ea00c2409e9922 |
completed | April 1, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69ccd5aa1d2c8190a287bf1cf4a3037e |
completed | April 1, 2026, 8:22 a.m. |
| PDg | Predicate description generation | batch_69ccd93fc45c8190a823305e461e581d |
completed | April 1, 2026, 8:37 a.m. |
Created at: March 30, 2026, 8:09 p.m.