Triple
T32888594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pathfinder Project |
E841270
|
entity |
| Predicate | firstSuccessfulContactMethod |
P41776
|
FINISHED |
| Object | Midas Array signal bounce |
—
|
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: Midas Array signal bounce | Statement: [Pathfinder Project, firstSuccessfulContactMethod, Midas Array signal bounce]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstSuccessfulContactMethod Context triple: [Pathfinder Project, firstSuccessfulContactMethod, Midas Array signal bounce]
-
A.
primaryReceptionMethod
Indicates the main way in which something is received, accessed, or obtained among multiple possible methods.
-
B.
hasContactMethod
chosen
Indicates that an entity has a specific way or channel through which it can be contacted.
-
C.
earlyContact
Indicates that one entity initiates contact with another earlier than a typical, expected, or reference time.
-
D.
appointmentMethod
Indicates how an appointment is arranged, such as the channel, process, or means used to schedule it.
-
E.
hasPrimaryContactNumberStyle
Indicates the style or format in which an entity’s primary contact phone number is represented.
- 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_69f349446e288190a70c05bcc4d81172 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a0379f0cbe481909b4b8fc6cbe297f0 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:18 a.m.